Upload folder using huggingface_hub

README.md

@@ -0,0 +1,207 @@
+---
+base_model: codellama/CodeLlama-7b-hf
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:codellama/CodeLlama-7b-hf
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.0

adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dbdd52e5b8529ffe165a4b7793d28ad7985a03da4f11c3fb210aa32ae78ed0e
+size 33571624

checkpoint-500/README.md

@@ -0,0 +1,207 @@
+---
+base_model: codellama/CodeLlama-7b-hf
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:codellama/CodeLlama-7b-hf
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.0

checkpoint-500/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-500/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4b9efa7d8814f4ce98dbec2520ad243b4352ec3e2ed21ff795edc4a4ee26098e
+size 33571624

checkpoint-500/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d1bdc5094c8852c632f3e19f12b40fc47dde315eb082ce0f6167e23b32d09227
+size 67217483

checkpoint-500/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9b82f999bdfc956e6cf3ed463c4e5dacb83f8c0274bc58f5e85466df98533a43
+size 14645

checkpoint-500/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:deaf71f313a4bfece7ef366d90ce78b482886bdc596e775d277854e73d9a4ef3
+size 1465

checkpoint-500/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-500/tokenizer_config.json

@@ -0,0 +1,84 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "extra_special_tokens": {},
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-500/trainer_state.json

@@ -0,0 +1,384 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 0.639386189258312,
+  "eval_steps": 500,
+  "global_step": 500,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01278772378516624,
+      "grad_norm": 0.17330682277679443,
+      "learning_rate": 0.0001976982097186701,
+      "loss": 1.4811,
+      "step": 10
+    },
+    {
+      "epoch": 0.02557544757033248,
+      "grad_norm": 0.15069860219955444,
+      "learning_rate": 0.00019514066496163684,
+      "loss": 1.4092,
+      "step": 20
+    },
+    {
+      "epoch": 0.03836317135549872,
+      "grad_norm": 0.1438504010438919,
+      "learning_rate": 0.0001925831202046036,
+      "loss": 1.3498,
+      "step": 30
+    },
+    {
+      "epoch": 0.05115089514066496,
+      "grad_norm": 0.16118377447128296,
+      "learning_rate": 0.00019002557544757034,
+      "loss": 1.3031,
+      "step": 40
+    },
+    {
+      "epoch": 0.0639386189258312,
+      "grad_norm": 0.15924590826034546,
+      "learning_rate": 0.0001874680306905371,
+      "loss": 1.3659,
+      "step": 50
+    },
+    {
+      "epoch": 0.07672634271099744,
+      "grad_norm": 0.16134314239025116,
+      "learning_rate": 0.00018491048593350385,
+      "loss": 1.2793,
+      "step": 60
+    },
+    {
+      "epoch": 0.08951406649616368,
+      "grad_norm": 0.17917372286319733,
+      "learning_rate": 0.0001823529411764706,
+      "loss": 1.2369,
+      "step": 70
+    },
+    {
+      "epoch": 0.10230179028132992,
+      "grad_norm": 0.17515508830547333,
+      "learning_rate": 0.00017979539641943735,
+      "loss": 1.2174,
+      "step": 80
+    },
+    {
+      "epoch": 0.11508951406649616,
+      "grad_norm": 0.16867513954639435,
+      "learning_rate": 0.0001772378516624041,
+      "loss": 1.2656,
+      "step": 90
+    },
+    {
+      "epoch": 0.1278772378516624,
+      "grad_norm": 0.21344934403896332,
+      "learning_rate": 0.00017468030690537086,
+      "loss": 1.2513,
+      "step": 100
+    },
+    {
+      "epoch": 0.14066496163682865,
+      "grad_norm": 0.19054637849330902,
+      "learning_rate": 0.0001721227621483376,
+      "loss": 1.2906,
+      "step": 110
+    },
+    {
+      "epoch": 0.1534526854219949,
+      "grad_norm": 0.2011404037475586,
+      "learning_rate": 0.00016956521739130436,
+      "loss": 1.2156,
+      "step": 120
+    },
+    {
+      "epoch": 0.16624040920716113,
+      "grad_norm": 0.190298929810524,
+      "learning_rate": 0.0001670076726342711,
+      "loss": 1.1907,
+      "step": 130
+    },
+    {
+      "epoch": 0.17902813299232737,
+      "grad_norm": 0.20571213960647583,
+      "learning_rate": 0.00016445012787723786,
+      "loss": 1.2082,
+      "step": 140
+    },
+    {
+      "epoch": 0.1918158567774936,
+      "grad_norm": 0.20900501310825348,
+      "learning_rate": 0.00016189258312020462,
+      "loss": 1.1588,
+      "step": 150
+    },
+    {
+      "epoch": 0.20460358056265984,
+      "grad_norm": 0.21515554189682007,
+      "learning_rate": 0.00015933503836317137,
+      "loss": 1.2504,
+      "step": 160
+    },
+    {
+      "epoch": 0.21739130434782608,
+      "grad_norm": 0.21124675869941711,
+      "learning_rate": 0.00015677749360613812,
+      "loss": 1.209,
+      "step": 170
+    },
+    {
+      "epoch": 0.23017902813299232,
+      "grad_norm": 0.26808661222457886,
+      "learning_rate": 0.00015421994884910487,
+      "loss": 1.2274,
+      "step": 180
+    },
+    {
+      "epoch": 0.24296675191815856,
+      "grad_norm": 0.21091195940971375,
+      "learning_rate": 0.00015166240409207163,
+      "loss": 1.1682,
+      "step": 190
+    },
+    {
+      "epoch": 0.2557544757033248,
+      "grad_norm": 0.23372243344783783,
+      "learning_rate": 0.00014910485933503838,
+      "loss": 1.2151,
+      "step": 200
+    },
+    {
+      "epoch": 0.26854219948849106,
+      "grad_norm": 0.20886382460594177,
+      "learning_rate": 0.00014654731457800513,
+      "loss": 1.1707,
+      "step": 210
+    },
+    {
+      "epoch": 0.2813299232736573,
+      "grad_norm": 0.2718591094017029,
+      "learning_rate": 0.00014398976982097188,
+      "loss": 1.1818,
+      "step": 220
+    },
+    {
+      "epoch": 0.29411764705882354,
+      "grad_norm": 0.20646598935127258,
+      "learning_rate": 0.00014143222506393863,
+      "loss": 1.2143,
+      "step": 230
+    },
+    {
+      "epoch": 0.3069053708439898,
+      "grad_norm": 0.23880060017108917,
+      "learning_rate": 0.00013887468030690539,
+      "loss": 1.2,
+      "step": 240
+    },
+    {
+      "epoch": 0.319693094629156,
+      "grad_norm": 0.21879994869232178,
+      "learning_rate": 0.00013631713554987214,
+      "loss": 1.1613,
+      "step": 250
+    },
+    {
+      "epoch": 0.33248081841432225,
+      "grad_norm": 0.21538586914539337,
+      "learning_rate": 0.0001337595907928389,
+      "loss": 1.2349,
+      "step": 260
+    },
+    {
+      "epoch": 0.3452685421994885,
+      "grad_norm": 0.20641756057739258,
+      "learning_rate": 0.00013120204603580564,
+      "loss": 1.1739,
+      "step": 270
+    },
+    {
+      "epoch": 0.35805626598465473,
+      "grad_norm": 0.24804268777370453,
+      "learning_rate": 0.0001286445012787724,
+      "loss": 1.1915,
+      "step": 280
+    },
+    {
+      "epoch": 0.37084398976982097,
+      "grad_norm": 0.24932831525802612,
+      "learning_rate": 0.00012608695652173915,
+      "loss": 1.1843,
+      "step": 290
+    },
+    {
+      "epoch": 0.3836317135549872,
+      "grad_norm": 0.26308584213256836,
+      "learning_rate": 0.0001235294117647059,
+      "loss": 1.1992,
+      "step": 300
+    },
+    {
+      "epoch": 0.39641943734015345,
+      "grad_norm": 0.2279403656721115,
+      "learning_rate": 0.00012097186700767265,
+      "loss": 1.1884,
+      "step": 310
+    },
+    {
+      "epoch": 0.4092071611253197,
+      "grad_norm": 0.2214374542236328,
+      "learning_rate": 0.0001184143222506394,
+      "loss": 1.1879,
+      "step": 320
+    },
+    {
+      "epoch": 0.4219948849104859,
+      "grad_norm": 0.20924842357635498,
+      "learning_rate": 0.00011585677749360616,
+      "loss": 1.1716,
+      "step": 330
+    },
+    {
+      "epoch": 0.43478260869565216,
+      "grad_norm": 0.2850317358970642,
+      "learning_rate": 0.00011329923273657291,
+      "loss": 1.1537,
+      "step": 340
+    },
+    {
+      "epoch": 0.4475703324808184,
+      "grad_norm": 0.2727545499801636,
+      "learning_rate": 0.00011074168797953966,
+      "loss": 1.1924,
+      "step": 350
+    },
+    {
+      "epoch": 0.46035805626598464,
+      "grad_norm": 0.21406596899032593,
+      "learning_rate": 0.00010818414322250641,
+      "loss": 1.1935,
+      "step": 360
+    },
+    {
+      "epoch": 0.4731457800511509,
+      "grad_norm": 0.26856428384780884,
+      "learning_rate": 0.00010562659846547316,
+      "loss": 1.1473,
+      "step": 370
+    },
+    {
+      "epoch": 0.4859335038363171,
+      "grad_norm": 0.31214985251426697,
+      "learning_rate": 0.00010306905370843992,
+      "loss": 1.1869,
+      "step": 380
+    },
+    {
+      "epoch": 0.49872122762148335,
+      "grad_norm": 0.25869354605674744,
+      "learning_rate": 0.00010051150895140667,
+      "loss": 1.1726,
+      "step": 390
+    },
+    {
+      "epoch": 0.5115089514066496,
+      "grad_norm": 0.25544413924217224,
+      "learning_rate": 9.79539641943734e-05,
+      "loss": 1.2077,
+      "step": 400
+    },
+    {
+      "epoch": 0.5242966751918159,
+      "grad_norm": 0.24060559272766113,
+      "learning_rate": 9.539641943734016e-05,
+      "loss": 1.1651,
+      "step": 410
+    },
+    {
+      "epoch": 0.5370843989769821,
+      "grad_norm": 0.2562996447086334,
+      "learning_rate": 9.283887468030691e-05,
+      "loss": 1.1922,
+      "step": 420
+    },
+    {
+      "epoch": 0.5498721227621484,
+      "grad_norm": 0.24809622764587402,
+      "learning_rate": 9.028132992327366e-05,
+      "loss": 1.1622,
+      "step": 430
+    },
+    {
+      "epoch": 0.5626598465473146,
+      "grad_norm": 0.23276326060295105,
+      "learning_rate": 8.772378516624042e-05,
+      "loss": 1.1461,
+      "step": 440
+    },
+    {
+      "epoch": 0.5754475703324808,
+      "grad_norm": 0.26975592970848083,
+      "learning_rate": 8.516624040920717e-05,
+      "loss": 1.1719,
+      "step": 450
+    },
+    {
+      "epoch": 0.5882352941176471,
+      "grad_norm": 0.2104811817407608,
+      "learning_rate": 8.260869565217392e-05,
+      "loss": 1.1957,
+      "step": 460
+    },
+    {
+      "epoch": 0.6010230179028133,
+      "grad_norm": 0.25681132078170776,
+      "learning_rate": 8.005115089514067e-05,
+      "loss": 1.1508,
+      "step": 470
+    },
+    {
+      "epoch": 0.6138107416879796,
+      "grad_norm": 0.2409922480583191,
+      "learning_rate": 7.749360613810742e-05,
+      "loss": 1.169,
+      "step": 480
+    },
+    {
+      "epoch": 0.6265984654731458,
+      "grad_norm": 0.22748278081417084,
+      "learning_rate": 7.493606138107418e-05,
+      "loss": 1.1102,
+      "step": 490
+    },
+    {
+      "epoch": 0.639386189258312,
+      "grad_norm": 0.27332964539527893,
+      "learning_rate": 7.237851662404093e-05,
+      "loss": 1.162,
+      "step": 500
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 782,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": false
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 1.6258984574976e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-500/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e4b9985d87cc2afa42de8cf08787ed27fd7ee9fa28dc017a23254cfc021e5e
+size 5713

checkpoint-782/README.md

@@ -0,0 +1,207 @@
+---
+base_model: codellama/CodeLlama-7b-hf
+library_name: peft
+pipeline_tag: text-generation
+tags:
+- base_model:adapter:codellama/CodeLlama-7b-hf
+- lora
+- transformers
+---
+
+# Model Card for Model ID
+
+<!-- Provide a quick summary of what the model is/does. -->
+
+
+
+## Model Details
+
+### Model Description
+
+<!-- Provide a longer summary of what this model is. -->
+
+
+
+- **Developed by:** [More Information Needed]
+- **Funded by [optional]:** [More Information Needed]
+- **Shared by [optional]:** [More Information Needed]
+- **Model type:** [More Information Needed]
+- **Language(s) (NLP):** [More Information Needed]
+- **License:** [More Information Needed]
+- **Finetuned from model [optional]:** [More Information Needed]
+
+### Model Sources [optional]
+
+<!-- Provide the basic links for the model. -->
+
+- **Repository:** [More Information Needed]
+- **Paper [optional]:** [More Information Needed]
+- **Demo [optional]:** [More Information Needed]
+
+## Uses
+
+<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
+
+### Direct Use
+
+<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
+
+[More Information Needed]
+
+### Downstream Use [optional]
+
+<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
+
+[More Information Needed]
+
+### Out-of-Scope Use
+
+<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
+
+[More Information Needed]
+
+## Bias, Risks, and Limitations
+
+<!-- This section is meant to convey both technical and sociotechnical limitations. -->
+
+[More Information Needed]
+
+### Recommendations
+
+<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
+
+Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
+
+## How to Get Started with the Model
+
+Use the code below to get started with the model.
+
+[More Information Needed]
+
+## Training Details
+
+### Training Data
+
+<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+
+[More Information Needed]
+
+### Training Procedure
+
+<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
+
+#### Preprocessing [optional]
+
+[More Information Needed]
+
+
+#### Training Hyperparameters
+
+- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
+
+#### Speeds, Sizes, Times [optional]
+
+<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
+
+[More Information Needed]
+
+## Evaluation
+
+<!-- This section describes the evaluation protocols and provides the results. -->
+
+### Testing Data, Factors & Metrics
+
+#### Testing Data
+
+<!-- This should link to a Dataset Card if possible. -->
+
+[More Information Needed]
+
+#### Factors
+
+<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
+
+[More Information Needed]
+
+#### Metrics
+
+<!-- These are the evaluation metrics being used, ideally with a description of why. -->
+
+[More Information Needed]
+
+### Results
+
+[More Information Needed]
+
+#### Summary
+
+
+
+## Model Examination [optional]
+
+<!-- Relevant interpretability work for the model goes here -->
+
+[More Information Needed]
+
+## Environmental Impact
+
+<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
+
+Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
+
+- **Hardware Type:** [More Information Needed]
+- **Hours used:** [More Information Needed]
+- **Cloud Provider:** [More Information Needed]
+- **Compute Region:** [More Information Needed]
+- **Carbon Emitted:** [More Information Needed]
+
+## Technical Specifications [optional]
+
+### Model Architecture and Objective
+
+[More Information Needed]
+
+### Compute Infrastructure
+
+[More Information Needed]
+
+#### Hardware
+
+[More Information Needed]
+
+#### Software
+
+[More Information Needed]
+
+## Citation [optional]
+
+<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
+
+**BibTeX:**
+
+[More Information Needed]
+
+**APA:**
+
+[More Information Needed]
+
+## Glossary [optional]
+
+<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
+
+[More Information Needed]
+
+## More Information [optional]
+
+[More Information Needed]
+
+## Model Card Authors [optional]
+
+[More Information Needed]
+
+## Model Card Contact
+
+[More Information Needed]
+### Framework versions
+
+- PEFT 0.17.0

checkpoint-782/adapter_config.json

@@ -0,0 +1,37 @@
+{
+  "alpha_pattern": {},
+  "auto_mapping": null,
+  "base_model_name_or_path": "codellama/CodeLlama-7b-hf",
+  "bias": "none",
+  "corda_config": null,
+  "eva_config": null,
+  "exclude_modules": null,
+  "fan_in_fan_out": false,
+  "inference_mode": true,
+  "init_lora_weights": true,
+  "layer_replication": null,
+  "layers_pattern": null,
+  "layers_to_transform": null,
+  "loftq_config": {},
+  "lora_alpha": 32,
+  "lora_bias": false,
+  "lora_dropout": 0.05,
+  "megatron_config": null,
+  "megatron_core": "megatron.core",
+  "modules_to_save": null,
+  "peft_type": "LORA",
+  "qalora_group_size": 16,
+  "r": 16,
+  "rank_pattern": {},
+  "revision": null,
+  "target_modules": [
+    "v_proj",
+    "q_proj"
+  ],
+  "target_parameters": null,
+  "task_type": "CAUSAL_LM",
+  "trainable_token_indices": null,
+  "use_dora": false,
+  "use_qalora": false,
+  "use_rslora": false
+}

checkpoint-782/adapter_model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1dbdd52e5b8529ffe165a4b7793d28ad7985a03da4f11c3fb210aa32ae78ed0e
+size 33571624

checkpoint-782/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f47f5adb2c07de7bcb68262507091b3538136c8045949a5f44879b6000c7c40d
+size 67217483

checkpoint-782/rng_state.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2a94602d47da2cf6ca157e186742710843ac52ee6897555dc1f03b12013a3acd
+size 14645

checkpoint-782/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1836dc692c37c4f27ef1b5797bf25f74bf3e09df208753bd7947d5b732e1c55c
+size 1465

checkpoint-782/special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

checkpoint-782/tokenizer_config.json

@@ -0,0 +1,84 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "extra_special_tokens": {},
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

checkpoint-782/trainer_state.json

@@ -0,0 +1,580 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 1.0,
+  "eval_steps": 500,
+  "global_step": 782,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.01278772378516624,
+      "grad_norm": 0.17330682277679443,
+      "learning_rate": 0.0001976982097186701,
+      "loss": 1.4811,
+      "step": 10
+    },
+    {
+      "epoch": 0.02557544757033248,
+      "grad_norm": 0.15069860219955444,
+      "learning_rate": 0.00019514066496163684,
+      "loss": 1.4092,
+      "step": 20
+    },
+    {
+      "epoch": 0.03836317135549872,
+      "grad_norm": 0.1438504010438919,
+      "learning_rate": 0.0001925831202046036,
+      "loss": 1.3498,
+      "step": 30
+    },
+    {
+      "epoch": 0.05115089514066496,
+      "grad_norm": 0.16118377447128296,
+      "learning_rate": 0.00019002557544757034,
+      "loss": 1.3031,
+      "step": 40
+    },
+    {
+      "epoch": 0.0639386189258312,
+      "grad_norm": 0.15924590826034546,
+      "learning_rate": 0.0001874680306905371,
+      "loss": 1.3659,
+      "step": 50
+    },
+    {
+      "epoch": 0.07672634271099744,
+      "grad_norm": 0.16134314239025116,
+      "learning_rate": 0.00018491048593350385,
+      "loss": 1.2793,
+      "step": 60
+    },
+    {
+      "epoch": 0.08951406649616368,
+      "grad_norm": 0.17917372286319733,
+      "learning_rate": 0.0001823529411764706,
+      "loss": 1.2369,
+      "step": 70
+    },
+    {
+      "epoch": 0.10230179028132992,
+      "grad_norm": 0.17515508830547333,
+      "learning_rate": 0.00017979539641943735,
+      "loss": 1.2174,
+      "step": 80
+    },
+    {
+      "epoch": 0.11508951406649616,
+      "grad_norm": 0.16867513954639435,
+      "learning_rate": 0.0001772378516624041,
+      "loss": 1.2656,
+      "step": 90
+    },
+    {
+      "epoch": 0.1278772378516624,
+      "grad_norm": 0.21344934403896332,
+      "learning_rate": 0.00017468030690537086,
+      "loss": 1.2513,
+      "step": 100
+    },
+    {
+      "epoch": 0.14066496163682865,
+      "grad_norm": 0.19054637849330902,
+      "learning_rate": 0.0001721227621483376,
+      "loss": 1.2906,
+      "step": 110
+    },
+    {
+      "epoch": 0.1534526854219949,
+      "grad_norm": 0.2011404037475586,
+      "learning_rate": 0.00016956521739130436,
+      "loss": 1.2156,
+      "step": 120
+    },
+    {
+      "epoch": 0.16624040920716113,
+      "grad_norm": 0.190298929810524,
+      "learning_rate": 0.0001670076726342711,
+      "loss": 1.1907,
+      "step": 130
+    },
+    {
+      "epoch": 0.17902813299232737,
+      "grad_norm": 0.20571213960647583,
+      "learning_rate": 0.00016445012787723786,
+      "loss": 1.2082,
+      "step": 140
+    },
+    {
+      "epoch": 0.1918158567774936,
+      "grad_norm": 0.20900501310825348,
+      "learning_rate": 0.00016189258312020462,
+      "loss": 1.1588,
+      "step": 150
+    },
+    {
+      "epoch": 0.20460358056265984,
+      "grad_norm": 0.21515554189682007,
+      "learning_rate": 0.00015933503836317137,
+      "loss": 1.2504,
+      "step": 160
+    },
+    {
+      "epoch": 0.21739130434782608,
+      "grad_norm": 0.21124675869941711,
+      "learning_rate": 0.00015677749360613812,
+      "loss": 1.209,
+      "step": 170
+    },
+    {
+      "epoch": 0.23017902813299232,
+      "grad_norm": 0.26808661222457886,
+      "learning_rate": 0.00015421994884910487,
+      "loss": 1.2274,
+      "step": 180
+    },
+    {
+      "epoch": 0.24296675191815856,
+      "grad_norm": 0.21091195940971375,
+      "learning_rate": 0.00015166240409207163,
+      "loss": 1.1682,
+      "step": 190
+    },
+    {
+      "epoch": 0.2557544757033248,
+      "grad_norm": 0.23372243344783783,
+      "learning_rate": 0.00014910485933503838,
+      "loss": 1.2151,
+      "step": 200
+    },
+    {
+      "epoch": 0.26854219948849106,
+      "grad_norm": 0.20886382460594177,
+      "learning_rate": 0.00014654731457800513,
+      "loss": 1.1707,
+      "step": 210
+    },
+    {
+      "epoch": 0.2813299232736573,
+      "grad_norm": 0.2718591094017029,
+      "learning_rate": 0.00014398976982097188,
+      "loss": 1.1818,
+      "step": 220
+    },
+    {
+      "epoch": 0.29411764705882354,
+      "grad_norm": 0.20646598935127258,
+      "learning_rate": 0.00014143222506393863,
+      "loss": 1.2143,
+      "step": 230
+    },
+    {
+      "epoch": 0.3069053708439898,
+      "grad_norm": 0.23880060017108917,
+      "learning_rate": 0.00013887468030690539,
+      "loss": 1.2,
+      "step": 240
+    },
+    {
+      "epoch": 0.319693094629156,
+      "grad_norm": 0.21879994869232178,
+      "learning_rate": 0.00013631713554987214,
+      "loss": 1.1613,
+      "step": 250
+    },
+    {
+      "epoch": 0.33248081841432225,
+      "grad_norm": 0.21538586914539337,
+      "learning_rate": 0.0001337595907928389,
+      "loss": 1.2349,
+      "step": 260
+    },
+    {
+      "epoch": 0.3452685421994885,
+      "grad_norm": 0.20641756057739258,
+      "learning_rate": 0.00013120204603580564,
+      "loss": 1.1739,
+      "step": 270
+    },
+    {
+      "epoch": 0.35805626598465473,
+      "grad_norm": 0.24804268777370453,
+      "learning_rate": 0.0001286445012787724,
+      "loss": 1.1915,
+      "step": 280
+    },
+    {
+      "epoch": 0.37084398976982097,
+      "grad_norm": 0.24932831525802612,
+      "learning_rate": 0.00012608695652173915,
+      "loss": 1.1843,
+      "step": 290
+    },
+    {
+      "epoch": 0.3836317135549872,
+      "grad_norm": 0.26308584213256836,
+      "learning_rate": 0.0001235294117647059,
+      "loss": 1.1992,
+      "step": 300
+    },
+    {
+      "epoch": 0.39641943734015345,
+      "grad_norm": 0.2279403656721115,
+      "learning_rate": 0.00012097186700767265,
+      "loss": 1.1884,
+      "step": 310
+    },
+    {
+      "epoch": 0.4092071611253197,
+      "grad_norm": 0.2214374542236328,
+      "learning_rate": 0.0001184143222506394,
+      "loss": 1.1879,
+      "step": 320
+    },
+    {
+      "epoch": 0.4219948849104859,
+      "grad_norm": 0.20924842357635498,
+      "learning_rate": 0.00011585677749360616,
+      "loss": 1.1716,
+      "step": 330
+    },
+    {
+      "epoch": 0.43478260869565216,
+      "grad_norm": 0.2850317358970642,
+      "learning_rate": 0.00011329923273657291,
+      "loss": 1.1537,
+      "step": 340
+    },
+    {
+      "epoch": 0.4475703324808184,
+      "grad_norm": 0.2727545499801636,
+      "learning_rate": 0.00011074168797953966,
+      "loss": 1.1924,
+      "step": 350
+    },
+    {
+      "epoch": 0.46035805626598464,
+      "grad_norm": 0.21406596899032593,
+      "learning_rate": 0.00010818414322250641,
+      "loss": 1.1935,
+      "step": 360
+    },
+    {
+      "epoch": 0.4731457800511509,
+      "grad_norm": 0.26856428384780884,
+      "learning_rate": 0.00010562659846547316,
+      "loss": 1.1473,
+      "step": 370
+    },
+    {
+      "epoch": 0.4859335038363171,
+      "grad_norm": 0.31214985251426697,
+      "learning_rate": 0.00010306905370843992,
+      "loss": 1.1869,
+      "step": 380
+    },
+    {
+      "epoch": 0.49872122762148335,
+      "grad_norm": 0.25869354605674744,
+      "learning_rate": 0.00010051150895140667,
+      "loss": 1.1726,
+      "step": 390
+    },
+    {
+      "epoch": 0.5115089514066496,
+      "grad_norm": 0.25544413924217224,
+      "learning_rate": 9.79539641943734e-05,
+      "loss": 1.2077,
+      "step": 400
+    },
+    {
+      "epoch": 0.5242966751918159,
+      "grad_norm": 0.24060559272766113,
+      "learning_rate": 9.539641943734016e-05,
+      "loss": 1.1651,
+      "step": 410
+    },
+    {
+      "epoch": 0.5370843989769821,
+      "grad_norm": 0.2562996447086334,
+      "learning_rate": 9.283887468030691e-05,
+      "loss": 1.1922,
+      "step": 420
+    },
+    {
+      "epoch": 0.5498721227621484,
+      "grad_norm": 0.24809622764587402,
+      "learning_rate": 9.028132992327366e-05,
+      "loss": 1.1622,
+      "step": 430
+    },
+    {
+      "epoch": 0.5626598465473146,
+      "grad_norm": 0.23276326060295105,
+      "learning_rate": 8.772378516624042e-05,
+      "loss": 1.1461,
+      "step": 440
+    },
+    {
+      "epoch": 0.5754475703324808,
+      "grad_norm": 0.26975592970848083,
+      "learning_rate": 8.516624040920717e-05,
+      "loss": 1.1719,
+      "step": 450
+    },
+    {
+      "epoch": 0.5882352941176471,
+      "grad_norm": 0.2104811817407608,
+      "learning_rate": 8.260869565217392e-05,
+      "loss": 1.1957,
+      "step": 460
+    },
+    {
+      "epoch": 0.6010230179028133,
+      "grad_norm": 0.25681132078170776,
+      "learning_rate": 8.005115089514067e-05,
+      "loss": 1.1508,
+      "step": 470
+    },
+    {
+      "epoch": 0.6138107416879796,
+      "grad_norm": 0.2409922480583191,
+      "learning_rate": 7.749360613810742e-05,
+      "loss": 1.169,
+      "step": 480
+    },
+    {
+      "epoch": 0.6265984654731458,
+      "grad_norm": 0.22748278081417084,
+      "learning_rate": 7.493606138107418e-05,
+      "loss": 1.1102,
+      "step": 490
+    },
+    {
+      "epoch": 0.639386189258312,
+      "grad_norm": 0.27332964539527893,
+      "learning_rate": 7.237851662404093e-05,
+      "loss": 1.162,
+      "step": 500
+    },
+    {
+      "epoch": 0.6521739130434783,
+      "grad_norm": 0.2509157955646515,
+      "learning_rate": 6.982097186700768e-05,
+      "loss": 1.1518,
+      "step": 510
+    },
+    {
+      "epoch": 0.6649616368286445,
+      "grad_norm": 0.2574126720428467,
+      "learning_rate": 6.726342710997443e-05,
+      "loss": 1.1643,
+      "step": 520
+    },
+    {
+      "epoch": 0.6777493606138107,
+      "grad_norm": 0.23611821234226227,
+      "learning_rate": 6.470588235294118e-05,
+      "loss": 1.1975,
+      "step": 530
+    },
+    {
+      "epoch": 0.690537084398977,
+      "grad_norm": 0.2839568257331848,
+      "learning_rate": 6.214833759590794e-05,
+      "loss": 1.1611,
+      "step": 540
+    },
+    {
+      "epoch": 0.7033248081841432,
+      "grad_norm": 0.2545911967754364,
+      "learning_rate": 5.959079283887469e-05,
+      "loss": 1.1711,
+      "step": 550
+    },
+    {
+      "epoch": 0.7161125319693095,
+      "grad_norm": 0.24425293505191803,
+      "learning_rate": 5.703324808184144e-05,
+      "loss": 1.16,
+      "step": 560
+    },
+    {
+      "epoch": 0.7289002557544757,
+      "grad_norm": 0.21479295194149017,
+      "learning_rate": 5.447570332480819e-05,
+      "loss": 1.1918,
+      "step": 570
+    },
+    {
+      "epoch": 0.7416879795396419,
+      "grad_norm": 0.28247973322868347,
+      "learning_rate": 5.1918158567774945e-05,
+      "loss": 1.1219,
+      "step": 580
+    },
+    {
+      "epoch": 0.7544757033248082,
+      "grad_norm": 0.2444392889738083,
+      "learning_rate": 4.936061381074169e-05,
+      "loss": 1.1619,
+      "step": 590
+    },
+    {
+      "epoch": 0.7672634271099744,
+      "grad_norm": 0.2738865911960602,
+      "learning_rate": 4.680306905370844e-05,
+      "loss": 1.1875,
+      "step": 600
+    },
+    {
+      "epoch": 0.7800511508951407,
+      "grad_norm": 0.2427508682012558,
+      "learning_rate": 4.4245524296675195e-05,
+      "loss": 1.1554,
+      "step": 610
+    },
+    {
+      "epoch": 0.7928388746803069,
+      "grad_norm": 0.2514194846153259,
+      "learning_rate": 4.168797953964195e-05,
+      "loss": 1.0994,
+      "step": 620
+    },
+    {
+      "epoch": 0.8056265984654731,
+      "grad_norm": 0.3031892776489258,
+      "learning_rate": 3.91304347826087e-05,
+      "loss": 1.1534,
+      "step": 630
+    },
+    {
+      "epoch": 0.8184143222506394,
+      "grad_norm": 0.26739251613616943,
+      "learning_rate": 3.657289002557545e-05,
+      "loss": 1.1519,
+      "step": 640
+    },
+    {
+      "epoch": 0.8312020460358056,
+      "grad_norm": 0.24512003362178802,
+      "learning_rate": 3.40153452685422e-05,
+      "loss": 1.1461,
+      "step": 650
+    },
+    {
+      "epoch": 0.8439897698209718,
+      "grad_norm": 0.25903940200805664,
+      "learning_rate": 3.145780051150895e-05,
+      "loss": 1.2031,
+      "step": 660
+    },
+    {
+      "epoch": 0.8567774936061381,
+      "grad_norm": 0.2628057599067688,
+      "learning_rate": 2.89002557544757e-05,
+      "loss": 1.0987,
+      "step": 670
+    },
+    {
+      "epoch": 0.8695652173913043,
+      "grad_norm": 0.2536948621273041,
+      "learning_rate": 2.6342710997442456e-05,
+      "loss": 1.1747,
+      "step": 680
+    },
+    {
+      "epoch": 0.8823529411764706,
+      "grad_norm": 0.24911293387413025,
+      "learning_rate": 2.378516624040921e-05,
+      "loss": 1.134,
+      "step": 690
+    },
+    {
+      "epoch": 0.8951406649616368,
+      "grad_norm": 0.25777775049209595,
+      "learning_rate": 2.122762148337596e-05,
+      "loss": 1.1314,
+      "step": 700
+    },
+    {
+      "epoch": 0.907928388746803,
+      "grad_norm": 0.2719346582889557,
+      "learning_rate": 1.8670076726342713e-05,
+      "loss": 1.1481,
+      "step": 710
+    },
+    {
+      "epoch": 0.9207161125319693,
+      "grad_norm": 0.2559177279472351,
+      "learning_rate": 1.6112531969309465e-05,
+      "loss": 1.1892,
+      "step": 720
+    },
+    {
+      "epoch": 0.9335038363171355,
+      "grad_norm": 0.25907379388809204,
+      "learning_rate": 1.3554987212276215e-05,
+      "loss": 1.1818,
+      "step": 730
+    },
+    {
+      "epoch": 0.9462915601023018,
+      "grad_norm": 0.24793638288974762,
+      "learning_rate": 1.0997442455242967e-05,
+      "loss": 1.1825,
+      "step": 740
+    },
+    {
+      "epoch": 0.959079283887468,
+      "grad_norm": 0.2763022184371948,
+      "learning_rate": 8.439897698209718e-06,
+      "loss": 1.1252,
+      "step": 750
+    },
+    {
+      "epoch": 0.9718670076726342,
+      "grad_norm": 0.2603158950805664,
+      "learning_rate": 5.882352941176471e-06,
+      "loss": 1.1759,
+      "step": 760
+    },
+    {
+      "epoch": 0.9846547314578005,
+      "grad_norm": 0.2559683620929718,
+      "learning_rate": 3.324808184143223e-06,
+      "loss": 1.1206,
+      "step": 770
+    },
+    {
+      "epoch": 0.9974424552429667,
+      "grad_norm": 0.2707849442958832,
+      "learning_rate": 7.672634271099745e-07,
+      "loss": 1.1607,
+      "step": 780
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 782,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 1,
+  "save_steps": 500,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 2.54046633984e+17,
+  "train_batch_size": 32,
+  "trial_name": null,
+  "trial_params": null
+}

checkpoint-782/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e4b9985d87cc2afa42de8cf08787ed27fd7ee9fa28dc017a23254cfc021e5e
+size 5713

special_tokens_map.json

@@ -0,0 +1,30 @@
+{
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": {
+    "content": "<s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "eos_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "</s>",
+  "unk_token": {
+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

@@ -0,0 +1,84 @@
+{
+  "add_bos_token": true,
+  "add_eos_token": false,
+  "added_tokens_decoder": {
+    "0": {
+      "content": "<unk>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "1": {
+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "2": {
+      "content": "</s>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32007": {
+      "content": "▁<PRE>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32008": {
+      "content": "▁<SUF>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32009": {
+      "content": "▁<MID>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "32010": {
+      "content": "▁<EOT>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "▁<PRE>",
+    "▁<MID>",
+    "▁<SUF>",
+    "▁<EOT>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "</s>",
+  "eot_token": "▁<EOT>",
+  "extra_special_tokens": {},
+  "fill_token": "<FILL_ME>",
+  "legacy": null,
+  "middle_token": "▁<MID>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "</s>",
+  "prefix_token": "▁<PRE>",
+  "sp_model_kwargs": {},
+  "suffix_token": "▁<SUF>",
+  "tokenizer_class": "CodeLlamaTokenizer",
+  "unk_token": "<unk>",
+  "use_default_system_prompt": false
+}

training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a9e4b9985d87cc2afa42de8cf08787ed27fd7ee9fa28dc017a23254cfc021e5e
+size 5713