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RafaelMayer
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bert-copec-1

Text Classification
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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RafaelMayer commited on
Commit
66633eb
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1 Parent(s): 815a0a6

Training in progress epoch 9

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Files changed (2) hide show
  1. README.md +21 -13
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,16 +14,16 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.5926
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- - Validation Loss: 0.4830
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- - Train Accuracy: 0.8235
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- - Train Precision: [0. 0.82352941]
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- - Train Precision W: 0.6782
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- - Train Recall: [0. 1.]
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- - Train Recall W: 0.8235
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- - Train F1: [0. 0.90322581]
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- - Train F1 W: 0.7438
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- - Epoch: 1
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  ## Model description
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@@ -47,9 +47,17 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Precision W | Train Recall | Train Recall W | Train F1 | Train F1 W | Epoch |
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- |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:------------:|:--------------:|:-----------------------:|:----------:|:-----:|
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- | 0.5926 | 0.4830 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 1 |
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1258
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+ - Validation Loss: 0.4666
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+ - Train Accuracy: 0.7647
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+ - Train Precision: [0. 0.8125]
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+ - Train Precision W: 0.6691
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+ - Train Recall: [0. 0.92857143]
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+ - Train Recall W: 0.7647
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+ - Train F1: [0. 0.86666667]
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+ - Train F1 W: 0.7137
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+ - Epoch: 9
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  ## Model description
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  ### Training results
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+ | Train Loss | Validation Loss | Train Accuracy | Train Precision | Train Precision W | Train Recall | Train Recall W | Train F1 | Train F1 W | Epoch |
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+ |:----------:|:---------------:|:--------------:|:-----------------------:|:-----------------:|:-----------------------:|:--------------:|:-----------------------:|:----------:|:-----:|
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+ | 0.5926 | 0.4830 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 1 |
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+ | 0.3224 | 0.5166 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 2 |
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+ | 0.2419 | 0.6137 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 3 |
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+ | 0.2583 | 0.5984 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 4 |
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+ | 0.2308 | 0.5345 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 5 |
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+ | 0.2178 | 0.4710 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 6 |
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+ | 0.1861 | 0.4562 | 0.8235 | [0. 0.82352941] | 0.6782 | [0. 1.] | 0.8235 | [0. 0.90322581] | 0.7438 | 7 |
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+ | 0.1456 | 0.4568 | 0.7647 | [0. 0.8125] | 0.6691 | [0. 0.92857143] | 0.7647 | [0. 0.86666667] | 0.7137 | 8 |
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+ | 0.1258 | 0.4666 | 0.7647 | [0. 0.8125] | 0.6691 | [0. 0.92857143] | 0.7647 | [0. 0.86666667] | 0.7137 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
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