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outputs – AI Model by ramsenth | AlphaNeural AI | AlphaNeural AI
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transformers
safetensors
bert
token-classification
generated_from_trainer
dccuchile/bert-base-spanish-wwm-uncased
finetune
autotrain_compatible
endpoints_compatible
us
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langbot-gec
This model is a fine-tuned version of
dccuchile/bert-base-spanish-wwm-uncased
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1379
Precision: 0.7729
Recall: 0.3969
F1: 0.5244
Accuracy: 0.9553
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-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Precision
Recall
F1
Accuracy
0.1778
1.0
126
0.1379
0.7729
0.3969
0.5244
0.9553
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.15.0