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ASTBERT-cb-5k-methods-multipath

Fill-Mask
Transformers
TensorFlow
bert
generated_from_keras_callback
Inference Endpoints
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Upload TFBertForMaskedLM

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  1. README.md +12 -12
  2. tf_model.h5 +1 -1
README.md CHANGED
@@ -14,8 +14,8 @@ probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Train Loss: 0.2356
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- - Train Accuracy: 0.9538
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  - Epoch: 9
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  ## Model description
@@ -42,16 +42,16 @@ The following hyperparameters were used during training:
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  | Train Loss | Train Accuracy | Epoch |
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  |:----------:|:--------------:|:-----:|
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- | 0.9070 | 0.8987 | 0 |
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- | 0.5501 | 0.9290 | 1 |
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- | 0.5038 | 0.9298 | 2 |
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- | 0.4764 | 0.9310 | 3 |
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- | 0.4474 | 0.9328 | 4 |
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- | 0.4104 | 0.9354 | 5 |
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- | 0.3686 | 0.9386 | 6 |
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- | 0.3234 | 0.9429 | 7 |
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- | 0.2781 | 0.9480 | 8 |
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- | 0.2356 | 0.9538 | 9 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/codebert-base-mlm](https://huggingface.co/microsoft/codebert-base-mlm) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Train Loss: 0.1751
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+ - Train Accuracy: 0.9639
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  - Epoch: 9
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  ## Model description
 
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  | Train Loss | Train Accuracy | Epoch |
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  |:----------:|:--------------:|:-----:|
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+ | 1.0543 | 0.8955 | 0 |
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+ | 0.5551 | 0.9292 | 1 |
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+ | 0.5051 | 0.9299 | 2 |
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+ | 0.4762 | 0.9317 | 3 |
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+ | 0.4408 | 0.9340 | 4 |
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+ | 0.3965 | 0.9372 | 5 |
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+ | 0.3451 | 0.9416 | 6 |
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+ | 0.2883 | 0.9473 | 7 |
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+ | 0.2303 | 0.9548 | 8 |
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+ | 0.1751 | 0.9639 | 9 |
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  ### Framework versions
tf_model.h5 CHANGED
@@ -1,3 +1,3 @@
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  size 655073724
 
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