llama_2_cot_simplest_code_math_5_3_epoch_full
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.5930
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6463 | 0.8333 | 100 | 0.5472 |
| 0.4158 | 1.6667 | 200 | 0.5442 |
| 0.3015 | 2.5 | 300 | 0.5952 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for CharlesLi/llama_2_cot_simplest_code_math_5_3_epoch_full
Base model
meta-llama/Llama-2-7b-chat-hf