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Realgon
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N_roberta_imdb_padding0model

Text Classification
Transformers
PyTorch
roberta
generated_from_trainer
Eval Results
Inference Endpoints
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End of training

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  1. README.md +23 -23
README.md CHANGED
@@ -22,7 +22,7 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.95168
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should 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 the imdb dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4112
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- - Accuracy: 0.9517
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  ## Model description
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@@ -64,26 +64,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.2068 | 1.0 | 1563 | 0.2386 | 0.9366 |
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- | 0.1604 | 2.0 | 3126 | 0.1644 | 0.9488 |
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- | 0.1036 | 3.0 | 4689 | 0.2624 | 0.9468 |
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- | 0.0712 | 4.0 | 6252 | 0.2360 | 0.9499 |
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- | 0.0482 | 5.0 | 7815 | 0.2562 | 0.9489 |
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- | 0.0421 | 6.0 | 9378 | 0.3405 | 0.9501 |
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- | 0.031 | 7.0 | 10941 | 0.3030 | 0.9501 |
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- | 0.0226 | 8.0 | 12504 | 0.3999 | 0.9472 |
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- | 0.0239 | 9.0 | 14067 | 0.3497 | 0.9489 |
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- | 0.0188 | 10.0 | 15630 | 0.4086 | 0.9463 |
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- | 0.0136 | 11.0 | 17193 | 0.4292 | 0.9487 |
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- | 0.0097 | 12.0 | 18756 | 0.4085 | 0.9496 |
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- | 0.0073 | 13.0 | 20319 | 0.4018 | 0.9478 |
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- | 0.0086 | 14.0 | 21882 | 0.3744 | 0.9512 |
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- | 0.0048 | 15.0 | 23445 | 0.3892 | 0.9521 |
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- | 0.0102 | 16.0 | 25008 | 0.3937 | 0.9503 |
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- | 0.0029 | 17.0 | 26571 | 0.4112 | 0.9510 |
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- | 0.0055 | 18.0 | 28134 | 0.4089 | 0.9517 |
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- | 0.0021 | 19.0 | 29697 | 0.4137 | 0.9517 |
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- | 0.0043 | 20.0 | 31260 | 0.4112 | 0.9517 |
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  ### Framework versions
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.95276
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the imdb dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5120
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+ - Accuracy: 0.9528
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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+ | 0.2059 | 1.0 | 1563 | 0.1926 | 0.9406 |
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+ | 0.1663 | 2.0 | 3126 | 0.1661 | 0.9497 |
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+ | 0.1024 | 3.0 | 4689 | 0.2261 | 0.9503 |
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+ | 0.0691 | 4.0 | 6252 | 0.2616 | 0.9494 |
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+ | 0.043 | 5.0 | 7815 | 0.3541 | 0.9466 |
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+ | 0.0431 | 6.0 | 9378 | 0.3030 | 0.9522 |
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+ | 0.0247 | 7.0 | 10941 | 0.3501 | 0.9482 |
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+ | 0.0299 | 8.0 | 12504 | 0.3723 | 0.9478 |
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+ | 0.02 | 9.0 | 14067 | 0.3530 | 0.9496 |
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+ | 0.0204 | 10.0 | 15630 | 0.3836 | 0.9458 |
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+ | 0.0144 | 11.0 | 17193 | 0.3471 | 0.9505 |
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+ | 0.0095 | 12.0 | 18756 | 0.3696 | 0.9504 |
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+ | 0.0087 | 13.0 | 20319 | 0.3877 | 0.9487 |
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+ | 0.0078 | 14.0 | 21882 | 0.4487 | 0.9504 |
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+ | 0.0056 | 15.0 | 23445 | 0.4657 | 0.9512 |
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+ | 0.0032 | 16.0 | 25008 | 0.5004 | 0.9502 |
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+ | 0.0041 | 17.0 | 26571 | 0.4863 | 0.9525 |
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+ | 0.0036 | 18.0 | 28134 | 0.4833 | 0.9516 |
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+ | 0.0 | 19.0 | 29697 | 0.5014 | 0.9523 |
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+ | 0.0001 | 20.0 | 31260 | 0.5120 | 0.9528 |
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  ### Framework versions