metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: tidy-tab-model
results: []
tidy-tab-model
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.5350
- Rouge1: 0.3782
- Rouge2: 0.1944
- Rougel: 0.3806
- Rougelsum: 0.3851
- Gen Len: 10.75
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 | 2.9450 | 0.4402 | 0.2495 | 0.4437 | 0.4412 | 15.0833 |
| No log | 2.0 | 14 | 2.8329 | 0.4163 | 0.2365 | 0.4179 | 0.4147 | 14.3333 |
| No log | 3.0 | 21 | 2.7322 | 0.4543 | 0.281 | 0.4509 | 0.4517 | 13.1667 |
| No log | 4.0 | 28 | 2.6600 | 0.4678 | 0.2921 | 0.4656 | 0.4646 | 12.8333 |
| No log | 5.0 | 35 | 2.6055 | 0.4678 | 0.2921 | 0.4656 | 0.4646 | 12.8333 |
| No log | 6.0 | 42 | 2.5687 | 0.4678 | 0.2921 | 0.4656 | 0.4646 | 12.8333 |
| No log | 7.0 | 49 | 2.5462 | 0.4795 | 0.3087 | 0.4755 | 0.4776 | 12.75 |
| No log | 8.0 | 56 | 2.5350 | 0.3782 | 0.1944 | 0.3806 | 0.3851 | 10.75 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1