electricidad-small-discriminator-finetuned-clasificacion-texto-suicida

This model is a fine-tuned version of mrm8488/electricidad-small-discriminator on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.0458
• Accuracy: 0.9916

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: 32
• eval_batch_size: 32
• lr_scheduler_type: linear
• num_epochs: 15

Training results

Training Loss	Epoch	Validation Loss	Accuracy
0.161100	1.0	0.133057	0.952718
0.134500	2.0	0.110966	0.960804
0.108500	3.0	0.086417	0.970835
0.099400	4.0	0.073618	0.974856
0.090500	5.0	0.065231	0.979629
0.080700	6.0	0.060849	0.982324
0.069200	7.0	0.054718	0.986125
0.060400	8.0	0.051153	0.985948
0.048200	9.0	0.045747	0.989748
0.045500	10.0	0.049992	0.988069
0.043400	11.0	0.046325	0.990234
0.034300	12.0	0.050746	0.989792
0.032900	13.0	0.043434	0.991737
0.028400	14.0	0.045003	0.991869
0.022300	15.0	0.045819	0.991648

Framework versions

• Transformers 4.17.0
• Pytorch 1.10.0+cu111
• Datasets 2.0.0
• Tokenizers 0.11.6