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camembert-large-EVA

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camembert
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End of training

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Files changed (4) hide show
  1. README.md +10 -11
  2. config.json +2 -2
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [camembert/camembert-large](https://huggingface.co/camembert/camembert-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0007
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  - Accuracy: 1.0
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  - Precision: 1.0
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  - Recall: 1.0
@@ -55,16 +55,15 @@ 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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- | 0.8583 | 1.0 | 358 | 0.0452 | 0.9916 | 0.9919 | 0.9916 | 0.9916 |
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- | 0.0415 | 2.0 | 716 | 0.0061 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
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- | 0.0137 | 3.0 | 1074 | 0.0029 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
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- | 0.0082 | 4.0 | 1432 | 0.0174 | 0.9972 | 0.9973 | 0.9972 | 0.9972 |
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- | 0.0062 | 5.0 | 1790 | 0.0007 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0885 | 6.0 | 2148 | 0.0410 | 0.9902 | 0.9905 | 0.9902 | 0.9902 |
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- | 0.0179 | 7.0 | 2506 | 0.0113 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
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- | 0.0104 | 8.0 | 2864 | 0.0124 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
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- | 0.0004 | 9.0 | 3222 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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- | 0.0003 | 10.0 | 3580 | 0.0129 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [camembert/camembert-large](https://huggingface.co/camembert/camembert-large) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0006
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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 Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 1.0495 | 1.0 | 366 | 0.0743 | 0.9808 | 0.9812 | 0.9808 | 0.9808 |
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+ | 0.0892 | 2.0 | 732 | 0.0088 | 0.9986 | 0.9987 | 0.9986 | 0.9986 |
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+ | 0.0299 | 3.0 | 1098 | 0.0037 | 0.9986 | 0.9987 | 0.9986 | 0.9986 |
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+ | 0.0207 | 4.0 | 1464 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0155 | 5.0 | 1830 | 0.0027 | 0.9986 | 0.9986 | 0.9986 | 0.9986 |
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+ | 0.0324 | 6.0 | 2196 | 0.0050 | 0.9986 | 0.9987 | 0.9986 | 0.9986 |
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+ | 0.0094 | 7.0 | 2562 | 0.0636 | 0.9945 | 0.9948 | 0.9945 | 0.9945 |
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+ | 0.0046 | 8.0 | 2928 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
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+ | 0.0044 | 9.0 | 3294 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
 
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  ### Framework versions
config.json CHANGED
@@ -2,13 +2,13 @@
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  "architectures": [
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  "CamembertForSequenceClassification"
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  ],
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- "attention_probs_dropout_prob": 0.1,
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  "bos_token_id": 5,
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  "classifier_dropout": null,
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  "dtype": "float32",
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  "eos_token_id": 6,
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  "hidden_act": "gelu",
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- "hidden_dropout_prob": 0.1,
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  "hidden_size": 1024,
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  "id2label": {
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  "0": "afficher_appel",
 
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  "architectures": [
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  "CamembertForSequenceClassification"
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  ],
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+ "attention_probs_dropout_prob": 0.2,
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  "bos_token_id": 5,
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  "classifier_dropout": null,
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  "dtype": "float32",
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  "eos_token_id": 6,
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  "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.2,
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  "hidden_size": 1024,
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  "id2label": {
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  "0": "afficher_appel",
model.safetensors CHANGED
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training_args.bin CHANGED
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