| | --- |
| | license: apache-2.0 |
| | base_model: t5-small |
| | 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-small](https://huggingface.co/t5-small) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0913 |
| |
|
| | ## 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: 2 |
| | - total_train_batch_size: 8 |
| | - 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 | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.7391 | 0.5 | 1000 | 0.1019 | |
| | | 0.1177 | 1.0 | 2000 | 0.0966 | |
| | | 0.1105 | 1.5 | 3000 | 0.0951 | |
| | | 0.1079 | 2.0 | 4000 | 0.0939 | |
| | | 0.1054 | 2.5 | 5000 | 0.0934 | |
| | | 0.1054 | 3.0 | 6000 | 0.0928 | |
| | | 0.1026 | 3.5 | 7000 | 0.0925 | |
| | | 0.1039 | 4.0 | 8000 | 0.0922 | |
| | | 0.102 | 4.5 | 9000 | 0.0920 | |
| | | 0.1017 | 5.0 | 10000 | 0.0918 | |
| | | 0.1003 | 5.5 | 11000 | 0.0918 | |
| | | 0.1014 | 6.0 | 12000 | 0.0916 | |
| | | 0.0993 | 6.5 | 13000 | 0.0916 | |
| | | 0.101 | 7.0 | 14000 | 0.0914 | |
| | | 0.0999 | 7.5 | 15000 | 0.0914 | |
| | | 0.0994 | 8.0 | 16000 | 0.0913 | |
| | | 0.1002 | 8.5 | 17000 | 0.0913 | |
| | | 0.0986 | 9.0 | 18000 | 0.0913 | |
| | | 0.0995 | 9.5 | 19000 | 0.0913 | |
| | | 0.0987 | 10.0 | 20000 | 0.0913 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.38.2 |
| | - Pytorch 2.2.1+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| | |
