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This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0651
Model Description
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Training Details
Training Data
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Training Procedure
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Training Hyperparameters
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Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 75
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.9743 | 0.8163 | 5 | 1.9198 |
| 1.8581 | 1.6327 | 10 | 1.7523 |
| 1.5766 | 2.4490 | 15 | 1.5925 |
| 1.4205 | 3.2653 | 20 | 1.4522 |
| 1.3769 | 4.0816 | 25 | 1.3597 |
| 1.1971 | 4.8980 | 30 | 1.2998 |
| 1.1704 | 5.7143 | 35 | 1.2477 |
| 1.128 | 6.5306 | 40 | 1.2061 |
| 1.0483 | 7.3469 | 45 | 1.1649 |
| 1.017 | 8.1633 | 50 | 1.1308 |
| 0.8937 | 8.9796 | 55 | 1.1093 |
| 0.8445 | 9.7959 | 60 | 1.0892 |
| 0.8322 | 10.6122 | 65 | 1.0763 |
| 0.926 | 11.4286 | 70 | 1.0652 |
| 0.7692 | 12.2449 | 75 | 1.0651 |
Framework versions
- PEFT 0.11.2.dev0
- Transformers 4.43.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Evaluation
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Summary
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Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
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