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SandyDelMar/
bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos

Name: bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos
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generated_from_trainer

autotrain_compatible

endpoints_compatible

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bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos

This model is a fine-tuned version of dccuchile/bert-base-spanish-wwm-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1296
F1: 0.5826

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
0.9559	1.0	766	0.9486	0.5698
0.8016	2.0	1532	0.9745	0.5788
0.6378	3.0	2298	1.1296	0.5826
0.4044	4.0	3064	1.3569	0.5786
0.2667	5.0	3830	1.6739	0.5744
0.1763	6.0	4596	2.1382	0.5614
0.0653	7.0	5362	2.5472	0.5730
0.068	8.0	6128	2.9414	0.5748
0.0317	9.0	6894	3.1639	0.5742
0.015	10.0	7660	3.2025	0.5767

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

SandyDelMar/bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos

bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

SandyDelMar/
bert-base-spanish-wwm-cased-finetuned-MeIA-AnalisisDeSentimientos