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cluster_to_text_t5_base_test
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7184
- Bleu: 12.1051
- Gen Len: 10.6659
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.4089 | 1.0 | 4678 | 2.1095 | 3.8133 | 11.5338 |
| 2.1256 | 2.0 | 9356 | 1.8032 | 9.8148 | 10.7901 |
| 2.0173 | 3.0 | 14034 | 1.7184 | 12.1051 | 10.6659 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
