distilhubert-finetuned-pulse

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.6143
• Accuracy: 0.7143

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: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6972	1.0	31	0.6880	0.7143
0.703	2.0	62	0.6044	0.7143
0.6737	3.0	93	0.6217	0.7143
0.6756	4.0	124	0.6400	0.7143
0.6557	5.0	155	0.6213	0.7143
0.6778	6.0	186	0.6109	0.7143
0.6884	7.0	217	0.6415	0.7143
0.6364	8.0	248	0.6205	0.7143
0.6506	9.0	279	0.6171	0.7143
0.675	10.0	310	0.6139	0.7143
0.7018	11.0	341	0.6145	0.7143
0.6766	12.0	372	0.6099	0.7143
0.6493	13.0	403	0.6131	0.7143
0.6482	14.0	434	0.6138	0.7143
0.8036	15.0	465	0.6143	0.7143

Framework versions

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