d754d549-aaf3-49ed-b91c-d8e42ae46260

This model is a fine-tuned version of jingyeom/seal3.1.6n_7b on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8372

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: 0.000211
• 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	0.0008	1	1.8411
0.9288	0.0409	50	1.0209
0.9076	0.0817	100	0.9626
0.8718	0.1226	150	0.9339
0.8202	0.1635	200	0.9111
0.8283	0.2043	250	0.8854
0.771	0.2452	300	0.8676
0.7649	0.2861	350	0.8546
0.7524	0.3269	400	0.8440
0.7161	0.3678	450	0.8381
0.7803	0.4087	500	0.8372

Framework versions

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