lenate_model_11_distilbert_trained

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

• Loss: 0.5964
• Accuracy: 0.7332

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: 2e-05
• train_batch_size: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	355	0.6187	0.7163
0.668	2.0	710	0.5964	0.7332
0.4256	3.0	1065	0.6048	0.7615
0.4256	4.0	1420	0.6930	0.7685
0.2576	5.0	1775	0.8426	0.7502
0.1593	6.0	2130	1.0264	0.7565
0.1593	7.0	2485	1.1487	0.7586
0.0968	8.0	2840	1.3436	0.7530
0.0456	9.0	3195	1.3743	0.7594
0.0342	10.0	3550	1.3954	0.7594

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.0
• Tokenizers 0.15.2