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mestrezero
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my_model_1000

Text Classification
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distilbert
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End of training

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  1. README.md +12 -12
  2. model.safetensors +1 -1
  3. runs/Sep30_20-11-43_f400b371bc4a/events.out.tfevents.1727727104.f400b371bc4a.3675.7 +2 -2
  4. runs/Sep30_20-11-43_f400b371bc4a/events.out.tfevents.1727727188.f400b371bc4a.3675.8 +3 -0
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3279
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- - Accuracy: 0.9333
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  ## Model description
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@@ -50,16 +50,16 @@ 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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- | No log | 1.0 | 30 | 0.4107 | 0.9333 |
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- | No log | 2.0 | 60 | 0.4412 | 0.9333 |
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- | No log | 3.0 | 90 | 0.5665 | 0.9 |
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- | No log | 4.0 | 120 | 0.3279 | 0.9333 |
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- | No log | 5.0 | 150 | 0.3522 | 0.95 |
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- | No log | 6.0 | 180 | 0.3607 | 0.95 |
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- | No log | 7.0 | 210 | 0.3536 | 0.95 |
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- | No log | 8.0 | 240 | 0.3521 | 0.95 |
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- | No log | 9.0 | 270 | 0.3519 | 0.95 |
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- | No log | 10.0 | 300 | 0.3518 | 0.95 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [lxyuan/distilbert-base-multilingual-cased-sentiments-student](https://huggingface.co/lxyuan/distilbert-base-multilingual-cased-sentiments-student) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.3065
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+ - Accuracy: 0.9667
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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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+ | No log | 1.0 | 30 | 0.3535 | 0.9667 |
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+ | No log | 2.0 | 60 | 0.4795 | 0.9333 |
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+ | No log | 3.0 | 90 | 0.3092 | 0.9667 |
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+ | No log | 4.0 | 120 | 0.3065 | 0.9667 |
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+ | No log | 5.0 | 150 | 0.3179 | 0.9667 |
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+ | No log | 6.0 | 180 | 0.3118 | 0.9667 |
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+ | No log | 7.0 | 210 | 0.3148 | 0.9667 |
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+ | No log | 8.0 | 240 | 0.3161 | 0.9667 |
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+ | No log | 9.0 | 270 | 0.3164 | 0.9667 |
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+ | No log | 10.0 | 300 | 0.3163 | 0.9667 |
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  ### Framework versions
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