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voicexpai/intent-recog

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  1. README.md +6 -7
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -8,7 +8,6 @@ metrics:
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  model-index:
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  - name: intent-recog
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  results: []
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- pipeline_tag: text-classification
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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
@@ -18,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0633
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- - F1: 0.0
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  ## Model description
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | F1 |
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- |:-------------:|:-----:|:-----:|:---------------:|:---:|
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- | 0.0324 | 1.0 | 10523 | 0.0633 | 0.0 |
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  ### Framework versions
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  - Transformers 4.33.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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- - Tokenizers 0.13.3
 
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  model-index:
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  - name: intent-recog
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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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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0588
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+ - F1: 0.9916
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | F1 |
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+ |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.0738 | 1.0 | 10582 | 0.0588 | 0.9916 |
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  ### Framework versions
 
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  - Transformers 4.33.2
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  - Pytorch 2.0.1+cu118
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  - Datasets 2.14.5
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+ - Tokenizers 0.13.3
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