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masked-lm-tpu

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roberta
generated_from_keras_callback
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Training in progress epoch 11

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  1. README.md +5 -4
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -15,11 +15,11 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 8.2662
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  - Train Accuracy: 0.0231
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- - Validation Loss: 8.2092
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- - Validation Accuracy: 0.0224
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- - Epoch: 10
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  ## Model description
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@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
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  | 8.4525 | 0.0230 | 8.3865 | 0.0223 | 8 |
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  | 8.3594 | 0.0230 | 8.3069 | 0.0221 | 9 |
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  | 8.2662 | 0.0231 | 8.2092 | 0.0224 | 10 |
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 8.1956
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  - Train Accuracy: 0.0231
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+ - Validation Loss: 8.1208
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+ - Validation Accuracy: 0.0222
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+ - Epoch: 11
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  ## Model description
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  | 8.4525 | 0.0230 | 8.3865 | 0.0223 | 8 |
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  | 8.3594 | 0.0230 | 8.3069 | 0.0221 | 9 |
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  | 8.2662 | 0.0231 | 8.2092 | 0.0224 | 10 |
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+ | 8.1956 | 0.0231 | 8.1208 | 0.0222 | 11 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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