Baby-Llama-58M-finaltest
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 40.6369
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: 0.00025
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
199.7705 | 1.0 | 12 | 175.1907 |
152.5864 | 2.0 | 24 | 141.1568 |
134.9071 | 3.0 | 36 | 116.7546 |
70.9555 | 4.0 | 48 | 62.6677 |
45.6886 | 5.0 | 60 | 40.6369 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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