t5_bos
This model is a fine-tuned version of google/flan-t5-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 126 | nan |
| No log | 2.0 | 252 | nan |
| No log | 3.0 | 378 | nan |
| 0.0 | 4.0 | 504 | nan |
| 0.0 | 5.0 | 630 | nan |
| 0.0 | 6.0 | 756 | nan |
| 0.0 | 7.0 | 882 | nan |
| 0.0 | 8.0 | 1008 | nan |
| 0.0 | 9.0 | 1134 | nan |
| 0.0 | 10.0 | 1260 | nan |
| 0.0 | 11.0 | 1386 | nan |
| 0.0 | 12.0 | 1512 | nan |
| 0.0 | 13.0 | 1638 | nan |
| 0.0 | 14.0 | 1764 | nan |
| 0.0 | 15.0 | 1890 | nan |
| 0.0 | 16.0 | 2016 | nan |
| 0.0 | 17.0 | 2142 | nan |
| 0.0 | 18.0 | 2268 | nan |
| 0.0 | 19.0 | 2394 | nan |
| 0.0 | 20.0 | 2520 | nan |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1