bf533530-9008-4bdb-9642-3e2a01e94faf

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: 2.0387

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: 0.000218
• 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	0.0004	1	2.9220
2.1124	0.0180	50	2.3514
2.1276	0.0361	100	2.3574
2.0478	0.0541	150	2.2885
2.0427	0.0722	200	2.2128
2.0229	0.0902	250	2.1969
2.0386	0.1082	300	2.1419
2.0051	0.1263	350	2.0811
2.0085	0.1443	400	2.0444
1.9234	0.1624	450	2.0357
1.813	0.1804	500	2.0387

Framework versions

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