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beto_amazon

Text Classification
Transformers
TensorFlow
bert
Inference Endpoints
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MarioPenguin commited on
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1 Parent(s): 83bd1c1

add model

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  1. README.md +17 -12
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -13,11 +13,11 @@ 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: 0.2236
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- - Train Accuracy: 0.9154
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- - Validation Loss: 0.9784
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- - Validation Accuracy: 0.7086
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- - Epoch: 4
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  ## Model description
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@@ -36,23 +36,28 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - optimizer: {'name': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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- | 0.7120 | 0.7008 | 0.6787 | 0.7320 | 0 |
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- | 0.5375 | 0.7790 | 0.6592 | 0.7322 | 1 |
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- | 0.4144 | 0.8378 | 0.7597 | 0.6360 | 2 |
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- | 0.3034 | 0.8862 | 0.9444 | 0.6856 | 3 |
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- | 0.2236 | 0.9154 | 0.9784 | 0.7086 | 4 |
 
 
 
 
 
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  ### Framework versions
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  - Transformers 4.16.2
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- - TensorFlow 2.7.0
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  - Datasets 1.18.3
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  - Tokenizers 0.11.0
 
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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: 0.5124
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+ - Train Accuracy: 0.7940
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+ - Validation Loss: 0.6627
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+ - Validation Accuracy: 0.7270
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+ - Epoch: 9
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - optimizer: {'name': 'Adam', 'learning_rate': 5e-07, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
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  - training_precision: float32
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  ### Training results
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  | Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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  |:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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+ | 1.0378 | 0.5016 | 0.9487 | 0.6354 | 0 |
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+ | 0.8548 | 0.6794 | 0.7746 | 0.6902 | 1 |
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+ | 0.7184 | 0.7120 | 0.7132 | 0.7042 | 2 |
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+ | 0.6564 | 0.7320 | 0.6845 | 0.7160 | 3 |
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+ | 0.6192 | 0.7466 | 0.6701 | 0.7206 | 4 |
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+ | 0.5917 | 0.7580 | 0.6712 | 0.7224 | 5 |
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+ | 0.5730 | 0.7662 | 0.6569 | 0.7266 | 6 |
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+ | 0.5502 | 0.7756 | 0.6575 | 0.7258 | 7 |
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+ | 0.5288 | 0.7868 | 0.6593 | 0.7268 | 8 |
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+ | 0.5124 | 0.7940 | 0.6627 | 0.7270 | 9 |
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  ### Framework versions
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  - Transformers 4.16.2
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+ - TensorFlow 2.8.0
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  - Datasets 1.18.3
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  - Tokenizers 0.11.0
tf_model.h5 CHANGED
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