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Harrynski/
bert_adaptation_martin_fierro

Name: bert_adaptation_martin_fierro
Availability: InStock

generated_from_trainer

dccuchile/bert-base-spanish-wwm-uncased

finetune

autotrain_compatible

endpoints_compatible

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bert_adaptation_martin_fierro

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: 4.2953

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: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
5.4894	1.0	29	4.8304
4.7842	2.0	58	4.7076
4.3551	3.0	87	4.3559
4.3413	4.0	116	4.2453
4.2925	5.0	145	4.2953

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0

Harrynski/bert_adaptation_martin_fierro

bert_adaptation_martin_fierro

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Harrynski/
bert_adaptation_martin_fierro