metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: seven_epoch
results: []
seven_epoch
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6967
- Rouge1: 0.2471
- Rouge2: 0.1156
- Rougel: 0.221
- Rougelsum: 0.2214
- Gen Len: 17.57
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 107 | 3.2445 | 0.1098 | 0.0185 | 0.0968 | 0.0967 | 18.47 |
| No log | 2.0 | 214 | 2.9257 | 0.1353 | 0.0337 | 0.119 | 0.1191 | 17.94 |
| No log | 3.0 | 321 | 2.8182 | 0.2021 | 0.0797 | 0.1801 | 0.1795 | 17.45 |
| No log | 4.0 | 428 | 2.7577 | 0.2358 | 0.1081 | 0.2096 | 0.2089 | 17.53 |
| 3.0898 | 5.0 | 535 | 2.7202 | 0.2347 | 0.1059 | 0.211 | 0.2094 | 17.31 |
| 3.0898 | 6.0 | 642 | 2.7035 | 0.2429 | 0.1124 | 0.2191 | 0.2188 | 17.58 |
| 3.0898 | 7.0 | 749 | 2.6967 | 0.2471 | 0.1156 | 0.221 | 0.2214 | 17.57 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0