c6be9dc2-384f-46d8-a498-b7772b9c02c3

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: 0.8603

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: 0.000203
• train_batch_size: 4
• eval_batch_size: 4
• seed: 30
• 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	0.0003	1	1.2299
1.6904	0.0170	50	1.1636
1.8494	0.0340	100	1.2369
2.0982	0.0509	150	1.1801
2.0336	0.0679	200	1.1176
1.9853	0.0849	250	1.1126
1.6569	0.1019	300	1.0305
1.6691	0.1188	350	0.9545
1.6709	0.1358	400	0.8948
1.598	0.1528	450	0.8651
1.4809	0.1698	500	0.8603

Framework versions

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