cds_np_42

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.1267

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: 0.0001
• train_batch_size: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 20
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
4.8246	1.0	495	3.7829
3.5358	2.0	990	3.4373
3.2822	3.0	1485	3.2929
3.1379	4.0	1980	3.2110
3.0361	5.0	2475	3.1546
2.9554	6.0	2970	3.1169
2.8872	7.0	3465	3.0929
2.8263	8.0	3960	3.0772
2.7708	9.0	4455	3.0658
2.719	10.0	4950	3.0605
2.67	11.0	5445	3.0612
2.6235	12.0	5940	3.0647
2.5783	13.0	6435	3.0716
2.5369	14.0	6930	3.0806
2.5001	15.0	7425	3.0869
2.4663	16.0	7920	3.0978
2.4367	17.0	8415	3.1059
2.4105	18.0	8910	3.1153
2.3888	19.0	9405	3.1227
2.3717	20.0	9900	3.1267

Framework versions

• Transformers 4.56.1
• Pytorch 2.8.0+cu128
• Datasets 4.0.0
• Tokenizers 0.22.0