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dccuchile_bert-base-spanish-wwm-uncased_ep10_lr1e-06_batchpergpu16_gpu1 – AI Model by NiGuLa | AlphaNeural AI
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dccuchile_bert-base-spanish-wwm-uncased_ep10_lr1e-06_batchpergpu16_gpu1
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transformers
safetensors
bert
text-classification
generated_from_trainer
dccuchile/bert-base-spanish-wwm-uncased
finetune
text-embeddings-inference
endpoints_compatible
us
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dccuchile_bert-base-spanish-wwm-uncased_ep10_lr1e-06_batchpergpu16_gpu1
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: 0.2562
F1 Micro: 0.4144
F1 Macro: 0.0907
Exact Match: 0.5758
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-06
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
F1 Micro
F1 Macro
Exact Match
0.3843
0.9924
131
0.3536
0.4842
0.0960
0.4413
0.2877
1.9848
262
0.2771
0.2620
0.0596
0.5436
0.2698
2.9773
393
0.2562
0.4144
0.0907
0.5758
Framework versions
Transformers 5.6.2
Pytorch 2.11.0+cu130
Datasets 4.8.4
Tokenizers 0.22.2
