cluster_to_text_t5_base
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4653
- Bleu: 66.2251
- Gen Len: 9.2028
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.542 | 1.0 | 3964 | 1.1583 | 26.2658 | 9.3137 |
| 1.0563 | 2.0 | 7928 | 0.7809 | 46.4766 | 9.1855 |
| 0.8165 | 3.0 | 11892 | 0.6044 | 57.0741 | 9.1809 |
| 0.7165 | 4.0 | 15856 | 0.5197 | 62.3771 | 9.2197 |
| 0.6568 | 5.0 | 19820 | 0.4784 | 65.331 | 9.1905 |
| 0.6231 | 6.0 | 23784 | 0.4653 | 66.2251 | 9.2028 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.0
- Tokenizers 0.13.3
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