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bert-large-csb

Text Classification
Transformers
Safetensors
bert
Generated from Trainer
text-embeddings-inference
Model card Files
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  1. README.md +18 -18
  2. bert-large-uncased_best/model.safetensors +1 -1
  3. bert-large-uncased_best/training_args.bin +1 -1
  4. model.safetensors +1 -1
README.md CHANGED
@@ -1,27 +1,27 @@
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  ---
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  library_name: transformers
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- license: mit
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- base_model: FacebookAI/roberta-large
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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- - name: roberta-large-csb
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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- # roberta-large-csb
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- This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2625
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- - Accuracy: 0.8857
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- - F1: 0.8860
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  ## Model description
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@@ -54,16 +54,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.3718 | 1.0 | 228 | 0.2774 | 0.8747 | 0.8748 |
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- | 0.3126 | 2.0 | 456 | 0.2625 | 0.8857 | 0.8860 |
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- | 0.2053 | 3.0 | 684 | 0.3058 | 0.8791 | 0.8787 |
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- | 0.1797 | 4.0 | 912 | 0.4676 | 0.8615 | 0.8601 |
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- | 0.1087 | 5.0 | 1140 | 0.8824 | 0.8330 | 0.8288 |
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- | 0.0827 | 6.0 | 1368 | 0.9341 | 0.8637 | 0.8616 |
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- | 0.0336 | 7.0 | 1596 | 0.9355 | 0.8571 | 0.8552 |
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- | 0.0077 | 8.0 | 1824 | 0.9166 | 0.8725 | 0.8720 |
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- | 0.0011 | 9.0 | 2052 | 0.9783 | 0.8747 | 0.8740 |
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- | 0.0001 | 10.0 | 2280 | 1.0445 | 0.8703 | 0.8692 |
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  ### Framework versions
 
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  ---
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  library_name: transformers
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+ license: apache-2.0
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+ base_model: google-bert/bert-large-uncased
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  tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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  - f1
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  model-index:
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+ - name: bert-large-csb
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  results: []
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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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  should probably proofread and complete it, then remove this comment. -->
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+ # bert-large-csb
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+ This model is a fine-tuned version of [google-bert/bert-large-uncased](https://huggingface.co/google-bert/bert-large-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3276
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+ - Accuracy: 0.8637
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+ - F1: 0.8635
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.4806 | 1.0 | 228 | 0.3276 | 0.8637 | 0.8635 |
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+ | 0.3325 | 2.0 | 456 | 0.3070 | 0.8527 | 0.8530 |
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+ | 0.2308 | 3.0 | 684 | 0.3310 | 0.8593 | 0.8585 |
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+ | 0.1562 | 4.0 | 912 | 0.5863 | 0.8571 | 0.8547 |
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+ | 0.1152 | 5.0 | 1140 | 0.7901 | 0.8462 | 0.8448 |
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+ | 0.0424 | 6.0 | 1368 | 1.0230 | 0.8374 | 0.8342 |
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+ | 0.018 | 7.0 | 1596 | 0.9910 | 0.8505 | 0.8499 |
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+ | 0.0293 | 8.0 | 1824 | 1.1121 | 0.8484 | 0.8471 |
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+ | 0.0075 | 9.0 | 2052 | 1.2002 | 0.8462 | 0.8446 |
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+ | 0.0067 | 10.0 | 2280 | 1.1791 | 0.8440 | 0.8425 |
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  ### Framework versions
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