testts1234

This model is a fine-tuned version of fahadqazi/testts1234 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.3092

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-06
• train_batch_size: 64
• eval_batch_size: 64
• 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
• training_steps: 1500
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.3565	0.6803	100	0.3094
0.3532	1.3605	200	0.3091
0.3528	2.0408	300	0.3084
0.3619	2.7211	400	0.3092
0.3574	3.4014	500	0.3088
0.3584	4.0816	600	0.3090
0.3526	4.7619	700	0.3090
0.356	5.4422	800	0.3087
0.3528	6.1224	900	0.3085
0.353	6.8027	1000	0.3091
0.3606	7.4830	1100	0.3087
0.3531	8.1633	1200	0.3088
0.3581	8.8435	1300	0.3088
0.3503	9.5238	1400	0.3086
0.3458	10.2041	1500	0.3092

Framework versions

• Transformers 4.47.1
• Pytorch 2.5.1+cu121
• Datasets 3.2.0
• Tokenizers 0.21.0