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README.md

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 ---
-license: mit
+language: en
+tags:
+- distilroberta
+- sentiment
+- emotion
+- twitter
+- reddit
+widget:
+- text: Oh my God, he's lost it. He's totally lost it.
+- text: What?
+- text: Wow, congratulations! So excited for you!
+library_name: transformers.js
 ---
+
+# Transformers.js conversion of [michellejieli/emotion_text_classifier](https://huggingface.co/michellejieli/emotion_text_classifier)
+
+# Fine-tuned DistilRoBERTa-base for Emotion Classification 🤬🤢😀😐😭😲
+
+# Model Description 
+
+DistilRoBERTa-base is a transformer model that performs sentiment analysis. I fine-tuned the model on transcripts from the Friends show with the goal of classifying emotions from text data, specifically dialogue from Netflix shows or movies. The model predicts 6 Ekman emotions and a neutral class. These emotions include anger, disgust, fear, joy, neutrality, sadness, and surprise.
+
+The model is a fine-tuned version of [Emotion English DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/) and [DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base). This model was initially trained on the following table from [Emotion English DistilRoBERTa-base](https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/):
+
+|Name|anger|disgust|fear|joy|neutral|sadness|surprise|
+|---|---|---|---|---|---|---|---|
+|Crowdflower (2016)|Yes|-|-|Yes|Yes|Yes|Yes|
+|Emotion Dataset, Elvis et al. (2018)|Yes|-|Yes|Yes|-|Yes|Yes|
+|GoEmotions, Demszky et al. (2020)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
+|ISEAR, Vikash (2018)|Yes|Yes|Yes|Yes|-|Yes|-|
+|MELD, Poria et al. (2019)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
+|SemEval-2018, EI-reg, Mohammad et al. (2018) |Yes|-|Yes|Yes|-|Yes|-|
+
+It was fine-tuned on:
+|Name|anger|disgust|fear|joy|neutral|sadness|surprise|
+|---|---|---|---|---|---|---|---|
+|Emotion Lines (Friends)|Yes|Yes|Yes|Yes|Yes|Yes|Yes|
+
+# How to Use 
+
+```js
+const { pipeline } = await import('@xenova/transformers');
+
+// Allocate pipeline
+const pipe = await pipeline('text-classification', 'MicahB/emotion_text_classifier');
+console.log(await pipe("womp womp"));
+```
+
+```js
+Output:
+[{'label': 'joy', 'score': 0.9887555241584778}]
+```
+
+# Contact
+
+Please reach out to [[email protected]](mailto:[email protected]) if you have any questions or feedback.
+
+
+# Reference
+
+```
+Jochen Hartmann, "Emotion English DistilRoBERTa-base". https://huggingface.co/j-hartmann/emotion-english-distilroberta-base/, 2022.
+Ashritha R Murthy and K M Anil Kumar 2021 IOP Conf. Ser.: Mater. Sci. Eng. 1110 012009
+```

config.json

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+{
+  "_name_or_path": "michellejieli/emotion_text_classifier",
+  "architectures": [
+    "RobertaForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 0,
+  "classifier_dropout": null,
+  "eos_token_id": 2,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "anger",
+    "1": "disgust",
+    "2": "fear",
+    "3": "joy",
+    "4": "neutral",
+    "5": "sadness",
+    "6": "surprise"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "anger": 0,
+    "disgust": 1,
+    "fear": 2,
+    "joy": 3,
+    "neutral": 4,
+    "sadness": 5,
+    "surprise": 6
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "roberta",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 6,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.43.4",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 50265
+}

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special_tokens_map.json

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tokenizer_config.json

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+  "max_length": 512,
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+  "pad_token": "<pad>",
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+  "padding_side": "right",
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+  "truncation_strategy": "longest_first",
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+}