| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: lol |
| | 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. --> |
| |
|
| | # lol |
| |
|
| | 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: 1.6366 |
| |
|
| | ## 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: 10 |
| | - eval_batch_size: 10 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 10 |
| | - total_train_batch_size: 100 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 7 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.0118 | 1.4 | 7 | 2.1901 | |
| | | 2.1915 | 2.8 | 14 | 1.8797 | |
| | | 1.8529 | 4.2 | 21 | 1.7159 | |
| | | 1.7081 | 5.6 | 28 | 1.6536 | |
| | | 1.623 | 7.0 | 35 | 1.6366 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.21.1 |
| | - Pytorch 1.12.1+cu113 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| | |
