| | --- |
| | 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 an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0323 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 4 |
| | - eval_batch_size: 4 |
| | - seed: 42 |
| | - 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | No log | 1.0 | 20 | 0.8886 | |
| | | No log | 2.0 | 40 | 0.4374 | |
| | | No log | 3.0 | 60 | 0.2574 | |
| | | No log | 4.0 | 80 | 0.1609 | |
| | | No log | 5.0 | 100 | 0.1005 | |
| | | No log | 6.0 | 120 | 0.0689 | |
| | | No log | 7.0 | 140 | 0.0549 | |
| | | No log | 8.0 | 160 | 0.0387 | |
| | | No log | 9.0 | 180 | 0.0353 | |
| | | No log | 10.0 | 200 | 0.0323 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.42.4 |
| | - Pytorch 2.3.1+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
