76a390d5-27b8-48b3-9774-197460f5576a

This model is a fine-tuned version of dltjdgh0928/test_instruction on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0663

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: 0.000212
• 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	0.7006
0.3177	0.0224	50	0.2272
0.5017	0.0448	100	0.2085
0.3504	0.0671	150	0.1680
0.2774	0.0895	200	0.1511
0.2238	0.1119	250	0.1377
0.2196	0.1343	300	0.1065
0.1634	0.1567	350	0.0886
0.1763	0.1791	400	0.0740
0.1787	0.2014	450	0.0684
0.1681	0.2238	500	0.0663

Framework versions

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