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djamina
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relatives_labels

Text Classification
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Safetensors
camembert
Generated from Trainer
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Training complete

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  1. README.md +9 -13
  2. model.safetensors +1 -1
  3. runs/Jun07_19-38-38_e2a7f679267f/events.out.tfevents.1717789126.e2a7f679267f.866.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ tags:
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  - generated_from_trainer
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  metrics:
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  - accuracy
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- - precision
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- - recall
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  - f1
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  model-index:
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  - name: relatives_labels
@@ -18,11 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6836
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  - Accuracy: 0.5758
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- - Precision: 0.5167
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- - Recall: 0.5057
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- - F1: 0.4381
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  ## Model description
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@@ -51,13 +47,13 @@ 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 | 49 | 0.8199 | 0.4141 | 0.7071 | 0.5 | 0.2929 |
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- | No log | 2.0 | 98 | 0.7530 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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- | No log | 3.0 | 147 | 0.6856 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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- | No log | 4.0 | 196 | 0.6841 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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- | No log | 5.0 | 245 | 0.6836 | 0.5758 | 0.5167 | 0.5057 | 0.4381 |
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  ### Framework versions
 
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  - generated_from_trainer
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  metrics:
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  - accuracy
 
 
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  - f1
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  model-index:
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  - name: relatives_labels
 
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  This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6840
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  - Accuracy: 0.5758
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+ - F1: 0.7042
 
 
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  ## Model description
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | No log | 1.0 | 49 | 0.8393 | 0.4141 | 0.0 |
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+ | No log | 2.0 | 98 | 0.7570 | 0.5859 | 0.7389 |
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+ | No log | 3.0 | 147 | 0.6867 | 0.5859 | 0.7389 |
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+ | No log | 4.0 | 196 | 0.6835 | 0.5859 | 0.7389 |
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+ | No log | 5.0 | 245 | 0.6840 | 0.5758 | 0.7042 |
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  ### Framework versions
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