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adriansanz
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080524_15ep_02

Zero-Shot Classification
Transformers
TensorBoard
Safetensors
roberta
text-classification
Generated from Trainer
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adriansanz commited on
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End of training

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  1. README.md +14 -14
  2. logs/events.out.tfevents.1715154075.4eb47db37635.5225.8 +3 -0
  3. logs/events.out.tfevents.1715154829.4eb47db37635.5225.12 +3 -0
  4. model.safetensors +1 -1
  5. 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: 0.6633
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- - Accuracy: 0.7941
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- - Precision: 0.8018
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- - Recall: 0.7941
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- - F1: 0.7928
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- - Ratio: 0.5798
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  ## Model description
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@@ -61,12 +61,12 @@ 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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- | 0.8337 | 0.1626 | 10 | 0.7759 | 0.7101 | 0.7126 | 0.7101 | 0.7092 | 0.4454 |
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- | 0.7644 | 0.3252 | 20 | 0.7252 | 0.7563 | 0.7654 | 0.7563 | 0.7542 | 0.5924 |
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- | 0.7339 | 0.4878 | 30 | 0.6925 | 0.7689 | 0.7732 | 0.7689 | 0.7680 | 0.5630 |
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- | 0.7102 | 0.6504 | 40 | 0.6907 | 0.7647 | 0.7802 | 0.7647 | 0.7614 | 0.6176 |
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- | 0.7758 | 0.8130 | 50 | 0.6682 | 0.7857 | 0.7917 | 0.7857 | 0.7846 | 0.5714 |
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- | 0.6621 | 0.9756 | 60 | 0.6632 | 0.7899 | 0.7967 | 0.7899 | 0.7887 | 0.5756 |
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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: 0.6181
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+ - Accuracy: 0.8403
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+ - Precision: 0.8404
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+ - Recall: 0.8403
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+ - F1: 0.8403
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+ - Ratio: 0.5084
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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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+ | 0.6062 | 0.1626 | 10 | 0.6718 | 0.7857 | 0.7892 | 0.7857 | 0.7851 | 0.4454 |
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+ | 0.6043 | 0.3252 | 20 | 0.6672 | 0.8067 | 0.8075 | 0.8067 | 0.8066 | 0.5252 |
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+ | 0.5636 | 0.4878 | 30 | 0.6729 | 0.8025 | 0.8043 | 0.8025 | 0.8022 | 0.4622 |
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+ | 0.6299 | 0.6504 | 40 | 0.6506 | 0.8151 | 0.8184 | 0.8151 | 0.8147 | 0.5504 |
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+ | 0.7213 | 0.8130 | 50 | 0.6245 | 0.8277 | 0.8278 | 0.8277 | 0.8277 | 0.4958 |
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+ | 0.6419 | 0.9756 | 60 | 0.6181 | 0.8403 | 0.8404 | 0.8403 | 0.8403 | 0.5084 |
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  ### Framework versions
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