b8e331ec-844e-406d-a391-576aede20e28

This model is a fine-tuned version of teknium/OpenHermes-2.5-Mistral-7B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.1320

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: 0.000207
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• 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	0.0002	1	1.3964
3.0166	0.0099	50	2.3778
3.021	0.0198	100	1.7476
3.4261	0.0297	150	1.5400
3.2143	0.0396	200	1.6028
2.6553	0.0496	250	1.7899
2.7311	0.0595	300	1.3963
2.9098	0.0694	350	1.2611
2.7607	0.0793	400	1.1925
2.6709	0.0892	450	1.1373
2.6685	0.0991	500	1.1320

Framework versions

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