metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: first_trial
results: []
first_trial
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6043
- Rouge1: 0.1456
- Rouge2: 0.0437
- Rougel: 0.1267
- Rougelsum: 0.1267
- Gen Len: 18.4047
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: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 54 | 3.0826 | 0.1077 | 0.0244 | 0.092 | 0.0922 | 18.9059 |
| No log | 2.0 | 108 | 2.7618 | 0.1172 | 0.0267 | 0.101 | 0.1013 | 18.7259 |
| No log | 3.0 | 162 | 2.6393 | 0.1326 | 0.035 | 0.1159 | 0.116 | 18.4753 |
| No log | 4.0 | 216 | 2.6043 | 0.1456 | 0.0437 | 0.1267 | 0.1267 | 18.4047 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0