train_wsc_42_1760465270

This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the wsc dataset. It achieves the following results on the evaluation set:

• Loss: 0.4535
• Num Input Tokens Seen: 1468632

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: 5e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: cosine
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Input Tokens Seen
0.3738	3.0	168	0.3511	146552
0.3553	6.0	336	0.3657	294256
0.3555	9.0	504	0.3502	439768
0.3611	12.0	672	0.3622	586448
0.3454	15.0	840	0.3614	735680
0.3497	18.0	1008	0.3600	882920
0.3609	21.0	1176	0.3777	1029792
0.3353	24.0	1344	0.4059	1176968
0.3337	27.0	1512	0.4415	1321408
0.3069	30.0	1680	0.4535	1468632

Framework versions

• PEFT 0.15.2
• Transformers 4.51.3
• Pytorch 2.8.0+cu128
• Datasets 3.6.0
• Tokenizers 0.21.1