sft-mistral-7b-vi-math-v1-clean-valid

This model is a fine-tuned version of hllj/Mistral-7B-Vi-Math on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 0.4370

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: 3e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.05
• num_epochs: 2
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.2954	1.04	1000	0.4506

Framework versions

• PEFT 0.5.0
• Transformers 4.36.2
• Pytorch 2.1.2
• Datasets 2.16.0
• Tokenizers 0.15.0