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Andrew-XZR/
bert_adaptation_referencias_de_vinos

Name: bert_adaptation_referencias_de_vinos
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-uncased

finetune

autotrain_compatible

endpoints_compatible

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bert_adaptation_referencias_de_vinos

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

Loss: 1.7296

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 15

Training results

Training Loss	Epoch	Step	Validation Loss
3.06	1.0	750	2.4974
2.4463	2.0	1500	2.3140
2.2515	3.0	2250	2.1646
2.0962	4.0	3000	2.0073
2.0126	5.0	3750	2.0552
1.9271	6.0	4500	1.9176
1.8427	7.0	5250	1.8497
1.8009	8.0	6000	1.8579
1.7596	9.0	6750	1.8501
1.7049	10.0	7500	1.8178
1.6992	11.0	8250	1.7969
1.67	12.0	9000	1.8254
1.6272	13.0	9750	1.7340
1.6192	14.0	10500	1.7664
1.6209	15.0	11250	1.7281

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3

Andrew-XZR/bert_adaptation_referencias_de_vinos

bert_adaptation_referencias_de_vinos

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Andrew-XZR/
bert_adaptation_referencias_de_vinos