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150524_15ep

Text Classification
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roberta
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End of training

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  1. README.md +16 -16
  2. logs/events.out.tfevents.1715852324.d60620d3a8a0.680.7 +3 -0
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -9,23 +9,23 @@ metrics:
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  - recall
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  - f1
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  model-index:
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- - name: 080524_epoch_6
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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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- # 080524_epoch_6
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8270
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- - Accuracy: 0.8151
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- - Precision: 0.8431
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- - Recall: 0.8151
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- - F1: 0.8113
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- - Ratio: 0.6429
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  ## Model description
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@@ -61,14 +61,14 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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- | 0.2961 | 0.1176 | 10 | 0.8340 | 0.8109 | 0.8442 | 0.8109 | 0.8062 | 0.6555 |
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- | 0.336 | 0.2353 | 20 | 0.7492 | 0.8403 | 0.8524 | 0.8403 | 0.8390 | 0.5924 |
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- | 0.3842 | 0.3529 | 30 | 0.7532 | 0.8403 | 0.8548 | 0.8403 | 0.8387 | 0.6008 |
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- | 0.3397 | 0.4706 | 40 | 0.7603 | 0.8235 | 0.8350 | 0.8235 | 0.8220 | 0.5924 |
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- | 0.4029 | 0.5882 | 50 | 0.8467 | 0.8109 | 0.8368 | 0.8109 | 0.8072 | 0.6387 |
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- | 0.3564 | 0.7059 | 60 | 0.8701 | 0.7983 | 0.8322 | 0.7983 | 0.7930 | 0.6597 |
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- | 0.3718 | 0.8235 | 70 | 0.8404 | 0.8151 | 0.8431 | 0.8151 | 0.8113 | 0.6429 |
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- | 0.4576 | 0.9412 | 80 | 0.8292 | 0.8151 | 0.8431 | 0.8151 | 0.8113 | 0.6429 |
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  ### Framework versions
 
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  - recall
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  - f1
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  model-index:
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+ - name: 080524_epoch_7
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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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+ # 080524_epoch_7
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2-cased-te](https://huggingface.co/projecte-aina/roberta-base-ca-v2-cased-te) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8038
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+ - Accuracy: 0.8193
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+ - Precision: 0.8496
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+ - Recall: 0.8193
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+ - F1: 0.8153
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+ - Ratio: 0.6471
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | 0.3163 | 0.1176 | 10 | 0.8696 | 0.8109 | 0.8404 | 0.8109 | 0.8067 | 0.6471 |
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+ | 0.3201 | 0.2353 | 20 | 0.8731 | 0.8109 | 0.8404 | 0.8109 | 0.8067 | 0.6471 |
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+ | 0.3244 | 0.3529 | 30 | 0.8844 | 0.8067 | 0.8376 | 0.8067 | 0.8022 | 0.6513 |
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+ | 0.3007 | 0.4706 | 40 | 0.8216 | 0.8235 | 0.8487 | 0.8235 | 0.8203 | 0.6345 |
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+ | 0.3405 | 0.5882 | 50 | 0.7835 | 0.8193 | 0.8367 | 0.8193 | 0.8170 | 0.6134 |
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+ | 0.3751 | 0.7059 | 60 | 0.8091 | 0.8109 | 0.8336 | 0.8109 | 0.8077 | 0.6303 |
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+ | 0.4261 | 0.8235 | 70 | 0.8261 | 0.8151 | 0.8431 | 0.8151 | 0.8113 | 0.6429 |
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+ | 0.4522 | 0.9412 | 80 | 0.8044 | 0.8193 | 0.8496 | 0.8193 | 0.8153 | 0.6471 |
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  ### Framework versions
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