childes_clm_context_30
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3503
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: 30
- 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 |
|---|---|---|---|
| 5.3831 | 3.5149 | 4000 | 4.0429 |
| 3.7776 | 7.0299 | 8000 | 3.5983 |
| 3.427 | 10.5448 | 12000 | 3.3933 |
| 3.1929 | 14.0598 | 16000 | 3.2864 |
| 3.0111 | 17.5747 | 20000 | 3.2382 |
| 2.865 | 21.0896 | 24000 | 3.2529 |
| 2.7295 | 24.6046 | 28000 | 3.2886 |
| 2.6194 | 28.1195 | 32000 | 3.3503 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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