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mrovejaxd/
FNST_trad_2f

Name: FNST_trad_2f
Availability: InStock

tensorboard

safetensors

bert

generated_from_trainer

dccuchile/bert-base-spanish-wwm-cased

finetune

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FNST_trad_2f

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: 0.8298
Accuracy: 0.6851
F1: 0.6776

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: 5e-06
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
0.9535	1.0	3125	0.9298	0.5950	0.5843
0.8929	2.0	6250	0.8737	0.6295	0.6198
0.8234	3.0	9375	0.8473	0.6410	0.6317
0.7857	4.0	12500	0.8264	0.6522	0.6455
0.7489	5.0	15625	0.8219	0.6506	0.6439
0.7072	6.0	18750	0.8138	0.6601	0.6546
0.7025	7.0	21875	0.8109	0.6641	0.6607
0.6646	8.0	25000	0.8130	0.6698	0.6643
0.6557	9.0	28125	0.8014	0.6745	0.6679
0.6114	10.0	31250	0.8153	0.6745	0.6681
0.6065	11.0	34375	0.8258	0.6815	0.6738
0.5733	12.0	37500	0.8298	0.6851	0.6776

Framework versions

Transformers 4.37.2
Pytorch 2.1.0+cu121
Datasets 2.16.1
Tokenizers 0.15.1

mrovejaxd/FNST_trad_2f

FNST_trad_2f

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

mrovejaxd/
FNST_trad_2f