childes_clm_context_13
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.0640
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: 16
- eval_batch_size: 16
- seed: 13
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100000
- training_steps: 400000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.5156 | 1.2694 | 4000 | 4.1587 |
| 3.9334 | 2.5389 | 8000 | 3.6747 |
| 3.5766 | 3.8083 | 12000 | 3.4190 |
| 3.3645 | 5.0778 | 16000 | 3.2713 |
| 3.2159 | 6.3472 | 20000 | 3.1943 |
| 3.1162 | 7.6166 | 24000 | 3.1435 |
| 3.0495 | 8.8861 | 28000 | 3.1004 |
| 2.9877 | 10.1555 | 32000 | 3.0966 |
| 2.9435 | 11.4249 | 36000 | 3.0851 |
| 2.9121 | 12.6944 | 40000 | 3.0755 |
| 2.8868 | 13.9638 | 44000 | 3.0624 |
| 2.8462 | 15.2333 | 48000 | 3.0738 |
| 2.8317 | 16.5027 | 52000 | 3.0683 |
| 2.8171 | 17.7721 | 56000 | 3.0640 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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