| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: google/mt5-small |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| - rouge |
| model-index: |
| - name: indic-compose-mt5 |
| 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. --> |
|
|
| # indic-compose-mt5 |
|
|
| This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: nan |
| - Bleu: 0.0 |
| - Rouge1: 0.0 |
| - Rougel: 0.0 |
|
|
| ## 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: 0.0005 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 8 |
| - total_train_batch_size: 128 |
| - optimizer: Use OptimizerNames.ADAFACTOR and the args are: |
| No additional optimizer arguments |
| - lr_scheduler_type: cosine |
| - lr_scheduler_warmup_steps: 50 |
| - num_epochs: 4 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rougel | |
| |:-------------:|:-----:|:----:|:---------------:|:----:|:------:|:------:| |
| | 0.0 | 1.0 | 139 | nan | 0.0 | 0.0 | 0.0 | |
| | 0.0 | 2.0 | 278 | nan | 0.0 | 0.0 | 0.0 | |
| | 0.0 | 3.0 | 417 | nan | 0.0 | 0.0 | 0.0 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.57.6 |
| - Pytorch 2.9.0+cu126 |
| - Datasets 4.8.3 |
| - Tokenizers 0.22.2 |
|
|
