1907aa18-fa77-4837-bb82-e85fec0dfe83

This model is a fine-tuned version of scb10x/llama-3-typhoon-v1.5-8b-instruct on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.2800

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: 0.000215
• train_batch_size: 4
• eval_batch_size: 4
• seed: 150
• 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	0.0004	1	1.6561
0.2792	0.0178	50	0.5212
0.2744	0.0357	100	0.4734
0.3979	0.0535	150	0.4358
0.1948	0.0713	200	0.4202
0.209	0.0892	250	0.4019
0.1875	0.1070	300	0.3943
0.1753	0.1248	350	0.3483
0.2105	0.1427	400	0.3004
0.1342	0.1605	450	0.2816
0.1496	0.1783	500	0.2800

Framework versions

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