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150524_15ep

Text Classification
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Safetensors
roberta
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End of training

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  1. README.md +14 -14
  2. logs/events.out.tfevents.1715850645.d60620d3a8a0.680.3 +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_2
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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_2
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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: 0.6422
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  - Accuracy: 0.8151
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- - Precision: 0.8285
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  - Recall: 0.8151
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- - F1: 0.8132
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- - Ratio: 0.6008
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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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- | 0.6673 | 0.1176 | 10 | 0.7004 | 0.7689 | 0.7885 | 0.7689 | 0.7649 | 0.6303 |
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- | 0.6171 | 0.2353 | 20 | 0.6825 | 0.7941 | 0.8155 | 0.7941 | 0.7906 | 0.6303 |
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- | 0.619 | 0.3529 | 30 | 0.6233 | 0.8193 | 0.8317 | 0.8193 | 0.8176 | 0.5966 |
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- | 0.5094 | 0.4706 | 40 | 0.6732 | 0.8025 | 0.8245 | 0.8025 | 0.7991 | 0.6303 |
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- | 0.5302 | 0.5882 | 50 | 0.6559 | 0.8151 | 0.8263 | 0.8151 | 0.8135 | 0.5924 |
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- | 0.5049 | 0.7059 | 60 | 0.6398 | 0.8067 | 0.8139 | 0.8067 | 0.8056 | 0.5756 |
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- | 0.5183 | 0.8235 | 70 | 0.6298 | 0.8067 | 0.8124 | 0.8067 | 0.8058 | 0.5672 |
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- | 0.5594 | 0.9412 | 80 | 0.6399 | 0.8109 | 0.8230 | 0.8109 | 0.8091 | 0.5966 |
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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_3
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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_3
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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: 0.7190
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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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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Ratio |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|:------:|
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+ | 0.4532 | 0.1176 | 10 | 0.6742 | 0.8193 | 0.8367 | 0.8193 | 0.8170 | 0.6134 |
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+ | 0.4299 | 0.2353 | 20 | 0.8276 | 0.7731 | 0.8079 | 0.7731 | 0.7665 | 0.6681 |
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+ | 0.4963 | 0.3529 | 30 | 0.7032 | 0.8235 | 0.8425 | 0.8235 | 0.8211 | 0.6176 |
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+ | 0.3726 | 0.4706 | 40 | 0.7220 | 0.8193 | 0.8395 | 0.8193 | 0.8166 | 0.6218 |
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+ | 0.3917 | 0.5882 | 50 | 0.8389 | 0.7941 | 0.8295 | 0.7941 | 0.7884 | 0.6639 |
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+ | 0.4565 | 0.7059 | 60 | 0.7085 | 0.8277 | 0.8429 | 0.8277 | 0.8258 | 0.6050 |
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+ | 0.4748 | 0.8235 | 70 | 0.6934 | 0.8109 | 0.8278 | 0.8109 | 0.8085 | 0.6134 |
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+ | 0.4813 | 0.9412 | 80 | 0.7157 | 0.8193 | 0.8426 | 0.8193 | 0.8162 | 0.6303 |
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  ### Framework versions
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