| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Testing-t5 |
| 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. --> |
|
|
| # Testing-t5 |
|
|
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.3656 |
|
|
| ## 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: 1e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 20 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | No log | 1.0 | 282 | 0.4660 | |
| | 0.5546 | 2.0 | 564 | 0.4258 | |
| | 0.5546 | 3.0 | 846 | 0.4089 | |
| | 0.4368 | 4.0 | 1128 | 0.3977 | |
| | 0.4368 | 5.0 | 1410 | 0.3911 | |
| | 0.4116 | 6.0 | 1692 | 0.3860 | |
| | 0.4116 | 7.0 | 1974 | 0.3812 | |
| | 0.3957 | 8.0 | 2256 | 0.3783 | |
| | 0.3872 | 9.0 | 2538 | 0.3754 | |
| | 0.3872 | 10.0 | 2820 | 0.3736 | |
| | 0.3806 | 11.0 | 3102 | 0.3717 | |
| | 0.3806 | 12.0 | 3384 | 0.3707 | |
| | 0.3737 | 13.0 | 3666 | 0.3691 | |
| | 0.3737 | 14.0 | 3948 | 0.3682 | |
| | 0.3693 | 15.0 | 4230 | 0.3675 | |
| | 0.367 | 16.0 | 4512 | 0.3667 | |
| | 0.367 | 17.0 | 4794 | 0.3662 | |
| | 0.3655 | 18.0 | 5076 | 0.3659 | |
| | 0.3655 | 19.0 | 5358 | 0.3657 | |
| | 0.3605 | 20.0 | 5640 | 0.3656 | |
|
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|
| ### Framework versions |
|
|
| - Transformers 4.44.2 |
| - Pytorch 2.4.1+cu121 |
| - Datasets 3.0.1 |
| - Tokenizers 0.19.1 |
|
|
