employee_ae

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

• Loss: 0.0028

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: 0.001
• train_batch_size: 256
• eval_batch_size: 256
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• num_epochs: 30
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.068	2.2321	500	0.0506
0.0511	4.4643	1000	0.0324
0.0279	6.6964	1500	0.0072
0.0233	8.9286	2000	0.0064
0.024	11.1607	2500	0.0051
0.0225	13.3929	3000	0.0051
0.0209	15.625	3500	0.0046
0.0192	17.8571	4000	0.0037
0.0189	20.0893	4500	0.0048
0.0189	22.3214	5000	0.0041
0.0183	24.5536	5500	0.0030
0.0188	26.7857	6000	0.0029
0.0168	29.0179	6500	0.0028

Framework versions

• Transformers 4.57.6
• Pytorch 2.9.1+cpu
• Datasets 4.5.0
• Tokenizers 0.22.2