---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: mt5-gigatrue-tpb
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mt5-gigatrue-tpb

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 19.8924

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch  | Step  | Validation Loss |
|:-------------:|:------:|:-----:|:---------------:|
| 46.6558       | 0.1015 | 3000  | 21.7202         |
| 32.5002       | 0.2030 | 6000  | 21.1662         |
| 31.6686       | 0.3044 | 9000  | 20.6858         |
| 31.3231       | 0.4059 | 12000 | 20.5872         |
| 31.1165       | 0.5074 | 15000 | 20.3965         |
| 31.0253       | 0.6089 | 18000 | 20.2668         |
| 30.9446       | 0.7104 | 21000 | 20.1311         |
| 30.9031       | 0.8119 | 24000 | 20.0952         |
| 30.8587       | 0.9133 | 27000 | 20.0290         |
| 30.8229       | 1.0148 | 30000 | 20.1145         |
| 30.821        | 1.1163 | 33000 | 19.9165         |
| 30.7911       | 1.2178 | 36000 | 19.8157         |
| 30.784        | 1.3193 | 39000 | 19.9888         |
| 30.7765       | 1.4207 | 42000 | 19.9128         |
| 30.774        | 1.5222 | 45000 | 19.8938         |
| 30.7461       | 1.6237 | 48000 | 19.7771         |
| 30.7454       | 1.7252 | 51000 | 19.9231         |
| 30.724        | 1.8267 | 54000 | 19.7420         |
| 30.731        | 1.9282 | 57000 | 19.8704         |
| 30.7417       | 2.0296 | 60000 | 19.9472         |
| 30.7423       | 2.1311 | 63000 | 19.9312         |
| 30.7266       | 2.2326 | 66000 | 19.9009         |
| 30.7288       | 2.3341 | 69000 | 19.9468         |
| 30.7245       | 2.4356 | 72000 | 19.8720         |
| 30.7434       | 2.5370 | 75000 | 19.9333         |
| 30.731        | 2.6385 | 78000 | 19.8618         |
| 30.7104       | 2.7400 | 81000 | 19.8979         |
| 30.7213       | 2.8415 | 84000 | 19.8811         |
| 30.7303       | 2.9430 | 87000 | 19.8924         |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.5.1
- Datasets 3.2.0
- Tokenizers 0.20.3