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xlm-roberta-base-finetuned-arman-fa

Token Classification
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xlm-roberta
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  1. README.md +7 -7
  2. model.safetensors +1 -1
  3. runs/Jul10_17-47-42_d7f34baa7945/events.out.tfevents.1720633667.d7f34baa7945.4003.0 +3 -0
  4. tokenizer.json +2 -2
  5. training_args.bin +1 -1
README.md CHANGED
@@ -17,8 +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 the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0081
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- - F1: 0.9870
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  ## Model description
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@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 0.1088 | 1.0 | 2305 | 0.0488 | 0.8621 |
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- | 0.038 | 2.0 | 4610 | 0.0281 | 0.9225 |
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- | 0.0165 | 3.0 | 6915 | 0.0140 | 0.9625 |
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- | 0.0064 | 4.0 | 9220 | 0.0091 | 0.9841 |
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- | 0.0021 | 5.0 | 11525 | 0.0081 | 0.9870 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0087
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+ - F1: 0.9841
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 0.1044 | 1.0 | 2305 | 0.0526 | 0.8511 |
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+ | 0.0384 | 2.0 | 4610 | 0.0323 | 0.9098 |
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+ | 0.0165 | 3.0 | 6915 | 0.0164 | 0.9560 |
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+ | 0.0071 | 4.0 | 9220 | 0.0118 | 0.9751 |
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+ | 0.0024 | 5.0 | 11525 | 0.0087 | 0.9841 |
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  ### Framework versions
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