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adriansanz
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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.1715854731.d60620d3a8a0.680.13 +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_9
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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_9
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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: 0.7890
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- - Accuracy: 0.8235
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- - Precision: 0.8561
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- - Recall: 0.8235
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- - F1: 0.8194
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- - Ratio: 0.6513
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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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- | 0.2923 | 0.1176 | 10 | 0.8526 | 0.8151 | 0.8469 | 0.8151 | 0.8108 | 0.6513 |
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- | 0.3108 | 0.2353 | 20 | 0.8767 | 0.8109 | 0.8528 | 0.8109 | 0.8051 | 0.6723 |
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- | 0.3049 | 0.3529 | 30 | 0.8242 | 0.8235 | 0.8455 | 0.8235 | 0.8207 | 0.6261 |
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- | 0.2983 | 0.4706 | 40 | 0.8193 | 0.8235 | 0.8455 | 0.8235 | 0.8207 | 0.6261 |
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- | 0.2921 | 0.5882 | 50 | 0.8231 | 0.8235 | 0.8455 | 0.8235 | 0.8207 | 0.6261 |
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- | 0.3826 | 0.7059 | 60 | 0.8226 | 0.8235 | 0.8561 | 0.8235 | 0.8194 | 0.6513 |
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- | 0.3421 | 0.8235 | 70 | 0.8075 | 0.8235 | 0.8561 | 0.8235 | 0.8194 | 0.6513 |
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- | 0.3397 | 0.9412 | 80 | 0.7905 | 0.8235 | 0.8561 | 0.8235 | 0.8194 | 0.6513 |
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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_13
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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_13
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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: 0.8371
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+ - Accuracy: 0.8151
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+ - Precision: 0.8509
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+ - Recall: 0.8151
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+ - F1: 0.8103
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+ - Ratio: 0.6597
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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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+ | 0.3002 | 0.1176 | 10 | 0.8662 | 0.8151 | 0.8509 | 0.8151 | 0.8103 | 0.6597 |
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+ | 0.3026 | 0.2353 | 20 | 0.7930 | 0.8277 | 0.8516 | 0.8277 | 0.8248 | 0.6303 |
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+ | 0.2933 | 0.3529 | 30 | 0.7946 | 0.8277 | 0.8484 | 0.8277 | 0.8251 | 0.6218 |
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+ | 0.2921 | 0.4706 | 40 | 0.8687 | 0.8151 | 0.8509 | 0.8151 | 0.8103 | 0.6597 |
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+ | 0.2947 | 0.5882 | 50 | 0.8540 | 0.8109 | 0.8442 | 0.8109 | 0.8062 | 0.6555 |
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+ | 0.3148 | 0.7059 | 60 | 0.8454 | 0.8151 | 0.8469 | 0.8151 | 0.8108 | 0.6513 |
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+ | 0.3221 | 0.8235 | 70 | 0.8642 | 0.8151 | 0.8509 | 0.8151 | 0.8103 | 0.6597 |
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+ | 0.316 | 0.9412 | 80 | 0.8389 | 0.8151 | 0.8509 | 0.8151 | 0.8103 | 0.6597 |
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  ### Framework versions
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