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: 3.7385
Model description
More information needed
Intended uses & limitations
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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 |
|---|---|---|---|
| 6.0667 | 1.6502 | 4000 | 4.9555 |
| 4.6745 | 3.3003 | 8000 | 4.3916 |
| 4.2784 | 4.9505 | 12000 | 4.1178 |
| 4.0301 | 6.6007 | 16000 | 3.9512 |
| 3.8561 | 8.2508 | 20000 | 3.8569 |
| 3.7346 | 9.9010 | 24000 | 3.7881 |
| 3.6311 | 11.5512 | 28000 | 3.7667 |
| 3.5647 | 13.2013 | 32000 | 3.7527 |
| 3.509 | 14.8515 | 36000 | 3.7357 |
| 3.4507 | 16.5017 | 40000 | 3.7471 |
| 3.4237 | 18.1518 | 44000 | 3.7502 |
| 3.3836 | 19.8020 | 48000 | 3.7385 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.0.1
- Tokenizers 0.20.1
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