mistral_normalsft
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.4940
- eval_runtime: 2304.739
- eval_samples_per_second: 0.773
- eval_steps_per_second: 0.097
- epoch: 1.6
- step: 1536
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.9.0
- Transformers 4.39.0
- Pytorch 2.1.2
- Datasets 2.13.0
- Tokenizers 0.15.2
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Model tree for bingowithmylingo/mistral_normalsft
Base model
mistralai/Mistral-7B-v0.1 Finetuned
mistralai/Mistral-7B-Instruct-v0.1