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150524_15ep

Text Classification
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roberta
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End of training

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Files changed (4) hide show
  1. README.md +16 -16
  2. logs/events.out.tfevents.1715850216.d60620d3a8a0.680.2 +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_1
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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_1
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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: 0.7794
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- - Accuracy: 0.7395
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- - Precision: 0.7816
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- - Recall: 0.7395
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- - F1: 0.7294
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- - Ratio: 0.6933
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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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- | 3.1579 | 0.1176 | 10 | 2.2074 | 0.5126 | 0.5335 | 0.5126 | 0.4225 | 0.8950 |
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- | 1.5576 | 0.2353 | 20 | 1.3600 | 0.5504 | 0.5760 | 0.5504 | 0.5092 | 0.2101 |
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- | 1.1011 | 0.3529 | 30 | 0.9525 | 0.5588 | 0.5625 | 0.5588 | 0.5522 | 0.6218 |
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- | 0.9083 | 0.4706 | 40 | 0.8505 | 0.6471 | 0.6471 | 0.6471 | 0.6470 | 0.5084 |
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- | 0.8014 | 0.5882 | 50 | 0.8729 | 0.6765 | 0.7659 | 0.6765 | 0.6468 | 0.7899 |
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- | 0.7514 | 0.7059 | 60 | 0.7322 | 0.7563 | 0.7610 | 0.7563 | 0.7552 | 0.5672 |
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- | 0.7259 | 0.8235 | 70 | 0.7631 | 0.7437 | 0.7730 | 0.7437 | 0.7366 | 0.6639 |
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- | 0.7605 | 0.9412 | 80 | 0.7794 | 0.7395 | 0.7816 | 0.7395 | 0.7294 | 0.6933 |
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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_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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  | 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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