3b40a4dc-1423-4d79-b062-e0c34207bc16

This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.7449

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	2.0999
1.8971	0.0086	50	2.2067
1.9011	0.0171	100	2.1730
1.8564	0.0257	150	2.1025
1.8887	0.0342	200	2.0264
1.9849	0.0428	250	1.9379
1.7837	0.0513	300	1.8692
1.6724	0.0599	350	1.8100
1.7941	0.0684	400	1.7638
1.6998	0.0770	450	1.7481
1.7282	0.0855	500	1.7449

Framework versions

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