| | --- |
| | license: apache-2.0 |
| | base_model: google-t5/t5-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: tidy-tab-model |
| | 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. --> |
| |
|
| | # tidy-tab-model |
| |
|
| | This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.5060 |
| | - Rouge1: 0.3341 |
| | - Rouge2: 0.1528 |
| | - Rougel: 0.3104 |
| | - Rougelsum: 0.3125 |
| | - Gen Len: 17.75 |
| |
|
| | ## 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 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 8 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | | No log | 1.0 | 7 | 4.4385 | 0.1922 | 0.0928 | 0.1885 | 0.1862 | 17.9167 | |
| | | No log | 2.0 | 14 | 4.1803 | 0.2265 | 0.1136 | 0.2229 | 0.2214 | 17.75 | |
| | | No log | 3.0 | 21 | 3.9826 | 0.2505 | 0.0972 | 0.2495 | 0.2517 | 17.1667 | |
| | | No log | 4.0 | 28 | 3.8140 | 0.3166 | 0.131 | 0.3117 | 0.3168 | 17.5 | |
| | | No log | 5.0 | 35 | 3.6817 | 0.3442 | 0.1594 | 0.3194 | 0.3211 | 17.4167 | |
| | | No log | 6.0 | 42 | 3.5924 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 | |
| | | No log | 7.0 | 49 | 3.5356 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 | |
| | | No log | 8.0 | 56 | 3.5060 | 0.3341 | 0.1528 | 0.3104 | 0.3125 | 17.75 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.20.0 |
| | - Tokenizers 0.19.1 |
| |
|
