e40de8b0-b3ee-474c-bffb-bb7d29a08e04

This model is a fine-tuned version of unsloth/mistral-7b-v0.2 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8609

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: 0.000214
• train_batch_size: 4
• eval_batch_size: 4
• seed: 140
• gradient_accumulation_steps: 2
• total_train_batch_size: 8
• optimizer: Use OptimizerNames.ADAMW_BNB with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 50
• training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.0005	1	3.8498
2.8138	0.0271	50	2.4370
2.8662	0.0543	100	3.2918
3.5011	0.0814	150	2.1793
2.8668	0.1085	200	1.7318
2.9884	0.1356	250	1.5085
2.2298	0.1628	300	1.3315
2.3096	0.1899	350	1.1056
2.0049	0.2170	400	0.9815
2.0253	0.2442	450	0.8763
1.3918	0.2713	500	0.8609

Framework versions

• PEFT 0.13.2
• Transformers 4.46.0
• Pytorch 2.5.0+cu124
• Datasets 3.0.1
• Tokenizers 0.20.1