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fredymad/
bert_Pfinal_4CLASES_2e-5_16_10

Name: bert_Pfinal_4CLASES_2e-5_16_10
Availability: InStock

generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert_Pfinal_4CLASES_2e-5_16_10

This model is a fine-tuned version of fredymad/bert_Pfinal_4CLASES_2e-5_16_2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.9126
Accuracy: 0.8960

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
0.1814	1.0	669	0.4063	0.8960
0.1821	2.0	1338	0.4814	0.8904
0.1029	3.0	2007	0.5948	0.8968
0.0545	4.0	2676	0.6543	0.8949
0.038	5.0	3345	0.7463	0.8953
0.0122	6.0	4014	0.8268	0.8968
0.0137	7.0	4683	0.8442	0.8964
0.0061	8.0	5352	0.8852	0.8953
0.0073	9.0	6021	0.9132	0.8957
0.002	10.0	6690	0.9126	0.8960

Framework versions

Transformers 4.28.0
Pytorch 1.13.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3

fredymad/bert_Pfinal_4CLASES_2e-5_16_10

bert_Pfinal_4CLASES_2e-5_16_10

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

fredymad/
bert_Pfinal_4CLASES_2e-5_16_10