PerspectrumInstruct-Baseline-R_32-Alpha_64_Batch_4-Epoch_1-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: 0.3841

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
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss
1.356	0.1078	30	1.0690
1.0215	0.2156	60	0.9446
0.9024	0.3235	90	0.8369
0.8971	0.4313	120	0.7261
0.7858	0.5391	150	0.6317
0.7608	0.6469	180	0.5461
0.6772	0.7547	210	0.4775
0.6375	0.8625	240	0.4176
0.6158	0.9704	270	0.3841

Framework versions

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