c211d6d1-cfb5-4aaa-9ab1-23653eafaef1

This model is a fine-tuned version of NousResearch/Hermes-2-Theta-Llama-3-8B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3620

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: 0.000213
• 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	0.0001	1	1.8852
1.8489	0.0058	50	1.5707
1.9486	0.0116	100	1.6277
1.8128	0.0175	150	1.5825
1.5003	0.0233	200	1.5298
1.6849	0.0291	250	1.5037
1.5099	0.0349	300	1.4327
1.509	0.0408	350	1.4137
1.5056	0.0466	400	1.3862
1.529	0.0524	450	1.3791
1.4716	0.0582	500	1.3620

Framework versions

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