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flan-t5-base-finetuned-en-to-no-test
This model is a fine-tuned version of google/flan-t5-base on the opus_books dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 0.8116
- Gen Len: 18.1543
Model description
Broken model. Check train results.
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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0 | 1.0 | 788 | nan | 0.8116 | 18.1543 |
| 0.0 | 2.0 | 1576 | nan | 0.8116 | 18.1543 |
| 0.0 | 3.0 | 2364 | nan | 0.8116 | 18.1543 |
| 0.0 | 4.0 | 3152 | nan | 0.8116 | 18.1543 |
| 0.0 | 5.0 | 3940 | nan | 0.8116 | 18.1543 |
| 0.0 | 6.0 | 4728 | nan | 0.8116 | 18.1543 |
| 0.0 | 7.0 | 5516 | nan | 0.8116 | 18.1543 |
| 0.0 | 8.0 | 6304 | nan | 0.8116 | 18.1543 |
| 0.0 | 9.0 | 7092 | nan | 0.8116 | 18.1543 |
| 0.0 | 10.0 | 7880 | nan | 0.8116 | 18.1543 |
Framework versions
- Transformers 4.15.0
- Pytorch 1.12.1+cu113
- Datasets 2.3.2
- Tokenizers 0.10.3
