v2
This model is a fine-tuned version of TheBloke/openchat-3.5-1210-GPTQ on the None 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: 0.0002
- train_batch_size: 64
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 300
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu118
- Datasets 2.16.0
- Tokenizers 0.15.0
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Model tree for hieunguyenminh/v2
Base model
mistralai/Mistral-7B-v0.1
Finetuned
openchat/openchat-3.5-1210
Quantized
TheBloke/openchat-3.5-1210-GPTQ