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poem-gen-t5-small
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1066
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.67 | 0.32 | 5000 | 3.4705 |
3.573 | 0.63 | 10000 | 3.3747 |
3.5075 | 0.95 | 15000 | 3.3154 |
3.4486 | 1.26 | 20000 | 3.2704 |
3.4207 | 1.58 | 25000 | 3.2351 |
3.3933 | 1.89 | 30000 | 3.2069 |
3.3612 | 2.21 | 35000 | 3.1853 |
3.34 | 2.53 | 40000 | 3.1659 |
3.3422 | 2.84 | 45000 | 3.1503 |
3.3034 | 3.16 | 50000 | 3.1376 |
3.2886 | 3.47 | 55000 | 3.1283 |
3.2806 | 3.79 | 60000 | 3.1208 |
3.2745 | 4.1 | 65000 | 3.1141 |
3.2894 | 4.42 | 70000 | 3.1093 |
3.264 | 4.74 | 75000 | 3.1075 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.10.0+cu111
- Datasets 1.18.4
- Tokenizers 0.11.6