zephyr-enem-finetuned-v2
This model is a fine-tuned version of TheBloke/zephyr-7B-alpha-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: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 1.13.0+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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Model tree for alexandreacff/zephyr-enem-finetuned-v2
Base model
mistralai/Mistral-7B-v0.1
Finetuned
HuggingFaceH4/zephyr-7b-alpha
Quantized
TheBloke/zephyr-7B-alpha-GPTQ