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mrovejaxd/
ABL_trad_2e

Name: ABL_trad_2e
Availability: InStock

tensorboard

safetensors

bert

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

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ABL_trad_2e

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: 0.6197
Accuracy: 0.7492
F1: 0.7480

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-05
train_batch_size: 32
eval_batch_size: 32
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
0.8297	1.0	2342	0.8006	0.6318	0.6304
0.7468	2.0	4684	0.7369	0.6706	0.6685
0.6876	3.0	7026	0.6962	0.6913	0.6901
0.6548	4.0	9368	0.6739	0.7015	0.7009
0.61	5.0	11710	0.6597	0.7134	0.7111
0.5775	6.0	14052	0.6422	0.7219	0.7203
0.5592	7.0	16394	0.6298	0.7279	0.7264
0.5441	8.0	18736	0.6221	0.7346	0.7339
0.5191	9.0	21078	0.6182	0.7389	0.7373
0.4999	10.0	23420	0.6229	0.7442	0.7423
0.4797	11.0	25762	0.6259	0.7436	0.7426
0.4584	12.0	28104	0.6197	0.7492	0.7480

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

mrovejaxd/ABL_trad_2e

ABL_trad_2e

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mrovejaxd/
ABL_trad_2e