results_model8_new
This model is a fine-tuned version of on the None dataset. It achieves the following results on the evaluation set:
- Loss: 5.8002
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 6.3402 | 1.1141 | 10000 | 6.2499 |
| 6.0161 | 2.2282 | 20000 | 5.9371 |
| 5.7976 | 3.3422 | 30000 | 5.8868 |
| 5.5778 | 4.4563 | 40000 | 5.8308 |
| 5.4306 | 5.5704 | 50000 | 5.8110 |
| 5.3332 | 6.6845 | 60000 | 5.8593 |
| 5.2095 | 7.7986 | 70000 | 5.8150 |
| 5.1312 | 8.9127 | 80000 | 5.7984 |
| 5.0266 | 10.0267 | 90000 | 5.8415 |
| 4.9492 | 11.1408 | 100000 | 5.8116 |
| 4.9416 | 12.2549 | 110000 | 5.8231 |
| 4.8767 | 13.3690 | 120000 | 5.7562 |
| 4.8295 | 14.4831 | 130000 | 5.7837 |
| 4.7927 | 15.5971 | 140000 | 5.7813 |
| 4.7876 | 16.7112 | 150000 | 5.7653 |
| 4.7466 | 17.8253 | 160000 | 5.7583 |
| 4.7208 | 18.9394 | 170000 | 5.8002 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1
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