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End of training

Browse files
README.md CHANGED
@@ -19,7 +19,7 @@ should 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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- - Loss: 0.0033
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  - Accuracy: 1.0
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  - F1: 1.0
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  - Precision: 1.0
@@ -42,9 +42,9 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 5e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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- | No log | 1.0 | 44 | 0.2553 | 0.9698 | 0.9240 | 0.9770 | 0.9130 |
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- | No log | 2.0 | 88 | 0.0195 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 3.0 | 132 | 0.0091 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 4.0 | 176 | 0.0064 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 5.0 | 220 | 0.0051 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 6.0 | 264 | 0.0043 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 7.0 | 308 | 0.0038 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 8.0 | 352 | 0.0035 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 9.0 | 396 | 0.0033 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | No log | 10.0 | 440 | 0.0033 | 1.0 | 1.0 | 1.0 | 1.0 |
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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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+ - Loss: 0.0164
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  - Accuracy: 1.0
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  - F1: 1.0
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  - Precision: 1.0
 
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 2e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
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+ | No log | 1.0 | 22 | 0.2167 | 0.9943 | 0.9890 | 0.9864 | 0.9937 |
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+ | No log | 2.0 | 44 | 0.0821 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 3.0 | 66 | 0.0430 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 4.0 | 88 | 0.0300 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 5.0 | 110 | 0.0240 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 6.0 | 132 | 0.0207 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 7.0 | 154 | 0.0187 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 8.0 | 176 | 0.0173 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 9.0 | 198 | 0.0167 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | No log | 10.0 | 220 | 0.0164 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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