ContractGenerationFT_Original_MistralInstruct-7BUnsloth

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.3-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6398

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: 2
• eval_batch_size: 8
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 8
• optimizer: Use adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 20000

Training results

Training Loss	Epoch	Step	Validation Loss
0.6415	0.1077	20000	0.6398

Framework versions

• PEFT 0.12.0
• Transformers 4.46.0
• Pytorch 2.4.0+cu121
• Datasets 2.21.0
• Tokenizers 0.20.1