ad39a84d-6cb0-49b7-b864-6bfe48ac24f7

This model is a fine-tuned version of facebook/opt-125m on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.2056

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	2.6926
4.669	0.0035	50	2.6075
3.6533	0.0070	100	2.3736
3.4654	0.0106	150	2.3228
3.3582	0.0141	200	2.2756
3.3582	0.0176	250	2.2442
3.2783	0.0211	300	2.2341
3.1679	0.0247	350	2.2184
3.4371	0.0282	400	2.2098
3.2542	0.0317	450	2.2059
3.0969	0.0352	500	2.2056

Framework versions

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