llama-2-7B-Guanaco-QLoRA-AWQ
This model is a fine-tuned version of TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ on the emotion dataset.
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 250 | 1.6793 | 0.3225 | 0.2723 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
Model tree for pjherron/llama-2-7B-Guanaco-QLoRA-AWQ
Base model
Mikael110/llama-2-7b-guanaco-fp16
Quantized
TheBloke/llama-2-7B-Guanaco-QLoRA-AWQ