PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Step_50-FT-Unsloth_Mistral7B

This model is a fine-tuned version of unsloth/mistral-7b-instruct-v0.2-bnb-4bit on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0508

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: 4
• seed: 3407
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 5
• training_steps: 50

Training results

Training Loss	Epoch	Step	Validation Loss
1.4996	0.0719	20	1.1235
1.0737	0.1438	40	1.0508

Framework versions

• PEFT 0.12.0
• Transformers 4.44.0
• Pytorch 2.3.0+cu118
• Datasets 2.20.0
• Tokenizers 0.19.1