| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: mt5-base_2 |
| 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-base_2 |
| |
| This model is a fine-tuned version of [obokkkk/mt5-base](https://huggingface.co/obokkkk/mt5-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.1742 |
| - Bleu: 9.479 |
| - Gen Len: 16.9226 |
| |
| ## 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: 0.0001 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 256 |
| - total_train_batch_size: 2048 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:| |
| | No log | 1.0 | 183 | 1.1834 | 9.3761 | 16.9129 | |
| | No log | 2.0 | 366 | 1.1791 | 9.422 | 16.9334 | |
| | 1.3969 | 3.0 | 549 | 1.1764 | 9.4432 | 16.9082 | |
| | 1.3969 | 4.0 | 732 | 1.1749 | 9.461 | 16.9157 | |
| | 1.3969 | 5.0 | 915 | 1.1742 | 9.479 | 16.9226 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.18.0 |
| - Pytorch 1.11.0+cu113 |
| - Datasets 2.1.0 |
| - Tokenizers 0.12.1 |
|
|
