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: 3.0348
- Rouge1: 0.4278
- Rouge2: 0.2495
- Rougel: 0.4307
- Rougelsum: 0.4272
- Gen Len: 15.0833
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 | 3.7769 | 0.357 | 0.1943 | 0.3562 | 0.3538 | 18.6667 |
| No log | 2.0 | 14 | 3.5617 | 0.3952 | 0.2386 | 0.3963 | 0.3935 | 18.25 |
| No log | 3.0 | 21 | 3.3882 | 0.4045 | 0.2402 | 0.4094 | 0.4044 | 16.8333 |
| No log | 4.0 | 28 | 3.2644 | 0.4045 | 0.2402 | 0.4094 | 0.4044 | 16.8333 |
| No log | 5.0 | 35 | 3.1643 | 0.4316 | 0.2495 | 0.4345 | 0.4306 | 15.25 |
| No log | 6.0 | 42 | 3.0961 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
| No log | 7.0 | 49 | 3.0551 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
| No log | 8.0 | 56 | 3.0348 | 0.4278 | 0.2495 | 0.4307 | 0.4272 | 15.0833 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1