hipify_plus_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1395
- Bleu: 0.0975
- Gen Len: 19.0
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 8 | 2.3028 | 0.1031 | 19.0 |
| No log | 2.0 | 16 | 2.1395 | 0.0975 | 19.0 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.1.0a0+git794e397
- Datasets 2.14.4
- Tokenizers 0.13.3
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Base model
google-t5/t5-small