TinyLlama-1.1B-Chat-v1.0-reasoning-v2
This model is a fine-tuned version of TinyLlama/TinyLlama-1.1B-Chat-v1.0 on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.0186
Model description
More information needed
Intended uses & limitations
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Training and evaluation data
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Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 4e-05
- train_batch_size: 10
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 10
- total_train_batch_size: 100
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0456 | 1.0 | 347 | 1.0360 |
| 0.9714 | 2.0 | 695 | 1.0180 |
| 0.9335 | 3.0 | 1042 | 1.0176 |
| 0.9348 | 3.99 | 1388 | 1.0186 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.15.0
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