counterfactual_seed-42_1e-3
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1863
- Accuracy: 0.4007
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: 0.001
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 32000
- num_epochs: 20.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 6.0073 | 0.9994 | 1486 | 4.4192 | 0.2920 |
| 4.3098 | 1.9992 | 2972 | 3.9141 | 0.3313 |
| 3.7057 | 2.9991 | 4458 | 3.6329 | 0.3552 |
| 3.5345 | 3.9996 | 5945 | 3.4651 | 0.3710 |
| 3.3114 | 4.9994 | 7431 | 3.3682 | 0.3802 |
| 3.2377 | 5.9992 | 8917 | 3.3098 | 0.3859 |
| 3.1306 | 6.9991 | 10403 | 3.2696 | 0.3896 |
| 3.0915 | 7.9996 | 11890 | 3.2479 | 0.3926 |
| 3.0307 | 8.9994 | 13376 | 3.2247 | 0.3945 |
| 3.0054 | 9.9992 | 14862 | 3.2130 | 0.3962 |
| 2.9679 | 10.9991 | 16348 | 3.2049 | 0.3972 |
| 2.9475 | 11.9996 | 17835 | 3.1986 | 0.3978 |
| 2.9256 | 12.9994 | 19321 | 3.1964 | 0.3988 |
| 2.9069 | 13.9992 | 20807 | 3.1900 | 0.3994 |
| 2.8976 | 14.9991 | 22293 | 3.1946 | 0.3994 |
| 2.879 | 15.9996 | 23780 | 3.1883 | 0.3999 |
| 2.8775 | 16.9994 | 25266 | 3.1918 | 0.4004 |
| 2.8601 | 17.9992 | 26752 | 3.1878 | 0.4006 |
| 2.8664 | 18.9991 | 28238 | 3.1885 | 0.4006 |
| 2.8445 | 19.9962 | 29720 | 3.1863 | 0.4007 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.0
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