| --- |
| license: apache-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: finetuning_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. --> |
|
|
| # finetuning_t5 |
| |
| 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: 0.2795 |
| |
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.3628 | 1.0 | 444 | 0.2424 | |
| | 0.2569 | 2.0 | 889 | 0.2220 | |
| | 0.3852 | 3.0 | 1333 | 0.2854 | |
| | 0.4332 | 4.0 | 1778 | 0.2795 | |
| | 0.4322 | 5.0 | 2222 | 0.2794 | |
| | 0.4276 | 6.0 | 2667 | 0.2794 | |
| | 0.4275 | 7.0 | 3111 | 0.2794 | |
| | 0.4269 | 8.0 | 3556 | 0.2795 | |
| | 0.429 | 9.0 | 4001 | 0.2795 | |
| | 0.4308 | 9.99 | 4440 | 0.2795 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.1 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.12.0 |
| - Tokenizers 0.13.3 |
|
|
