Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.9360
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 150
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1569 | 0.0457 | 20 | 5.3968 |
| 5.3987 | 0.0914 | 40 | 5.2553 |
| 5.133 | 0.1371 | 60 | 5.0065 |
| 4.6634 | 0.1829 | 80 | 4.6042 |
| 4.3315 | 0.2286 | 100 | 4.2429 |
| 4.0887 | 0.2743 | 120 | 4.0269 |
| 3.9483 | 0.32 | 140 | 3.9360 |
Framework versions
- PEFT 0.15.2
- Transformers 4.45.2
- Pytorch 2.5.0+cu121
- Datasets 3.2.0
- Tokenizers 0.20.3
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Model tree for Siqi-Hu/Llama2-7B-lora-r-32-generic-epoch-5-labels_40.0
Base model
meta-llama/Llama-2-7b-hf