6ba02086-a174-4043-b0fc-ba6cad240d77

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: 2.1599

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: 0.000201
• train_batch_size: 4
• eval_batch_size: 4
• seed: 10
• 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	3.0874
2.1128	0.0028	50	2.6181
2.0407	0.0057	100	2.5381
2.0578	0.0085	150	2.4094
2.024	0.0113	200	2.3470
2.0764	0.0141	250	2.3578
1.9278	0.0170	300	2.2510
1.9993	0.0198	350	2.2062
1.8863	0.0226	400	2.1752
1.9525	0.0255	450	2.1631
1.6989	0.0283	500	2.1599

Framework versions

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