agrobot-ft
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7913
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.1443 | 1.0 | 55 | 1.7158 |
1.5239 | 2.0 | 110 | 1.4998 |
1.305 | 3.0 | 165 | 1.3493 |
1.1183 | 4.0 | 220 | 1.2132 |
0.9468 | 5.0 | 275 | 1.0977 |
0.8102 | 6.0 | 330 | 0.9938 |
0.7173 | 7.0 | 385 | 0.9067 |
0.652 | 8.0 | 440 | 0.8492 |
0.6078 | 9.0 | 495 | 0.8083 |
0.5847 | 10.0 | 550 | 0.7913 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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