| | --- |
| | license: apache-2.0 |
| | base_model: t5-base |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: results |
| | 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. --> |
| |
|
| | # results |
| |
|
| | This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.9081 |
| |
|
| | ## 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: 2e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 10 |
| | - num_epochs: 3 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.9289 | 0.32 | 10 | 3.2381 | |
| | | 3.5665 | 0.64 | 20 | 2.7374 | |
| | | 3.6622 | 0.96 | 30 | 2.4842 | |
| | | 2.6751 | 1.28 | 40 | 2.2607 | |
| | | 2.649 | 1.6 | 50 | 2.1196 | |
| | | 2.3201 | 1.92 | 60 | 2.0067 | |
| | | 2.2374 | 2.24 | 70 | 1.9490 | |
| | | 2.1954 | 2.56 | 80 | 1.9210 | |
| | | 2.3612 | 2.88 | 90 | 1.9081 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
