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adriansanz
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greetings-v1

Text Classification
setfit
TensorBoard
Safetensors
sentence-transformers
xlm-roberta
generated_from_setfit_trainer
Eval Results
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adriansanz commited on
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greetings-v2

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Files changed (6) hide show
  1. README.md +5 -5
  2. model.safetensors +1 -1
  3. runs/Nov11_11-01-15_492b612f7fa6/events.out.tfevents.1731322889.492b612f7fa6.1028.4 +3 -0
  4. runs/Nov11_11-17-38_492b612f7fa6/events.out.tfevents.1731323867.492b612f7fa6.1028.5 +3 -0
  5. runs/Nov11_11-17-38_492b612f7fa6/events.out.tfevents.1731324123.492b612f7fa6.1028.6 +3 -0
  6. training_args.bin +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0000
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  - Accuracy: 1.0
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  - Precision: 1.0
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  - Recall: 1.0
@@ -55,10 +55,10 @@ The following hyperparameters were used during training:
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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- |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:---:|
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- | No log | 1.0 | 319 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0 | 2.0 | 638 | 0.0000 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [projecte-aina/roberta-base-ca-v2](https://huggingface.co/projecte-aina/roberta-base-ca-v2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0314
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  - Accuracy: 1.0
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  - Precision: 1.0
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  - Recall: 1.0
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | No log | 1.0 | 202 | 0.1516 | 0.9992 | 0.9994 | 0.9988 | 0.9991 |
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+ | No log | 2.0 | 404 | 0.0314 | 1.0 | 1.0 | 1.0 | 1.0 |
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  ### Framework versions
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