results
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
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: 0.0006
- train_batch_size: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 256
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3233 | 0.0 | 16 | 0.0 |
| 5.8951 | 0.0 | 32 | 0.0 |
| 5.6878 | 0.0 | 48 | 0.0 |
| 5.565 | 0.01 | 64 | 0.0 |
| 5.465 | 0.01 | 80 | 0.0 |
| 5.3753 | 0.01 | 96 | 0.0 |
| 5.2865 | 0.01 | 112 | 0.0 |
| 5.2224 | 0.01 | 128 | 0.0 |
| 5.1431 | 0.01 | 144 | 0.0 |
| 5.0848 | 0.02 | 160 | 0.0 |
| 5.0773 | 0.02 | 176 | 0.0 |
| 5.0287 | 0.02 | 192 | 0.0 |
| 4.9982 | 0.02 | 208 | 0.0 |
| 4.9662 | 0.02 | 224 | 0.0 |
| 4.9546 | 0.02 | 240 | 0.0 |
| 4.9439 | 0.02 | 256 | 0.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0a0+41361538.nv23.06
- Datasets 2.16.1
- Tokenizers 0.15.0
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