cds_o_new_42

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

• Loss: 2.7790

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
4.4798	1.0	495	3.2795
3.0402	2.0	990	2.9773
2.8128	3.0	1485	2.8691
2.6924	4.0	1980	2.8052
2.6084	5.0	2475	2.7662
2.5426	6.0	2970	2.7405
2.486	7.0	3465	2.7228
2.4349	8.0	3960	2.7123
2.3876	9.0	4455	2.7079
2.3427	10.0	4950	2.7048
2.2999	11.0	5445	2.7072
2.2586	12.0	5940	2.7149
2.2191	13.0	6435	2.7210
2.1815	14.0	6930	2.7287
2.1455	15.0	7425	2.7399
2.1131	16.0	7920	2.7497
2.0849	17.0	8415	2.7590
2.0609	18.0	8910	2.7695
2.0401	19.0	9405	2.7748
2.0244	20.0	9900	2.7790

Framework versions

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