llama_1b_step2_batch_v4
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3246
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 40
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7442 | 0.1363 | 50 | 0.8824 |
| 0.5925 | 0.2727 | 100 | 0.6583 |
| 0.587 | 0.4090 | 150 | 0.5422 |
| 0.4862 | 0.5453 | 200 | 0.4668 |
| 0.4211 | 0.6817 | 250 | 0.4176 |
| 0.4013 | 0.8180 | 300 | 0.3846 |
| 0.4198 | 0.9543 | 350 | 0.3644 |
| 0.2427 | 1.0913 | 400 | 0.3562 |
| 0.2783 | 1.2277 | 450 | 0.3468 |
| 0.22 | 1.3640 | 500 | 0.3399 |
| 0.2263 | 1.5003 | 550 | 0.3335 |
| 0.2177 | 1.6367 | 600 | 0.3277 |
| 0.2579 | 1.7730 | 650 | 0.3251 |
| 0.1985 | 1.9093 | 700 | 0.3246 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.1.0+cu118
- Datasets 3.0.2
- Tokenizers 0.20.1
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