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djamina
/
relatives_labels-cbert_finetuned

Text Classification
Transformers
TensorBoard
Safetensors
camembert
Generated from Trainer
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djamina commited on
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1 Parent(s): 240f058

Training complete

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Files changed (5) hide show
  1. README.md +6 -6
  2. model.safetensors +1 -1
  3. runs/Jun07_19-06-28_7811eff5bc9c/events.out.tfevents.1717787205.7811eff5bc9c.1945.1 +3 -0
  4. runs/Jun07_19-09-17_7811eff5bc9c/events.out.tfevents.1717787364.7811eff5bc9c.1945.2 +3 -0
  5. training_args.bin +1 -1
README.md CHANGED
@@ -21,7 +21,7 @@ This model is a fine-tuned version of [camembert/camembert-large](https://huggin
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6900
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  - Accuracy: 0.5859
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- - Precision: 0.2929
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  - Recall: 0.5
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  - F1: 0.3694
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@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
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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 | 0.7393 | 0.5859 | 0.2929 | 0.5 | 0.3694 |
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- | No log | 2.0 | 98 | 0.7367 | 0.5859 | 0.2929 | 0.5 | 0.3694 |
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- | No log | 3.0 | 147 | 0.6921 | 0.5859 | 0.2929 | 0.5 | 0.3694 |
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- | No log | 4.0 | 196 | 0.6894 | 0.5859 | 0.2929 | 0.5 | 0.3694 |
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- | No log | 5.0 | 245 | 0.6900 | 0.5859 | 0.2929 | 0.5 | 0.3694 |
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  ### Framework versions
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.6900
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  - Accuracy: 0.5859
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+ - Precision: 0.7929
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  - Recall: 0.5
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  - F1: 0.3694
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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 | 0.7593 | 0.5859 | 0.5447 | 0.5071 | 0.4105 |
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+ | No log | 2.0 | 98 | 0.7108 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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+ | No log | 3.0 | 147 | 0.6904 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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+ | No log | 4.0 | 196 | 0.6891 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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+ | No log | 5.0 | 245 | 0.6900 | 0.5859 | 0.7929 | 0.5 | 0.3694 |
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  ### Framework versions
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