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mrovejaxd/
goemotions_bertspanish_finetunig_h

Name: goemotions_bertspanish_finetunig_h
Availability: InStock

tensorboard

safetensors

bert

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

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goemotions_bertspanish_finetunig_h

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

Loss: 1.6598
Accuracy: 0.5404
F1: 0.3632

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: 1e-07
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: 12

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
2.4762	1.0	2714	2.3736	0.3965	0.0902
2.2421	2.0	5428	2.1500	0.4411	0.1405
2.0582	3.0	8142	2.0235	0.4651	0.1782
1.9469	4.0	10856	1.9198	0.4837	0.2152
1.8658	5.0	13570	1.8732	0.4938	0.2569
1.7823	6.0	16284	1.8065	0.5115	0.2984
1.7816	7.0	18998	1.7565	0.5181	0.3127
1.6916	8.0	21712	1.7227	0.5250	0.3366
1.654	9.0	24426	1.7072	0.5298	0.3483
1.6335	10.0	27140	1.6858	0.5349	0.3486
1.608	11.0	29854	1.6806	0.5333	0.3513
1.5538	12.0	32568	1.6598	0.5404	0.3632

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

mrovejaxd/goemotions_bertspanish_finetunig_h

goemotions_bertspanish_finetunig_h

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mrovejaxd/
goemotions_bertspanish_finetunig_h