End of training

README.md

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+---
+library_name: transformers
+license: mit
+base_model: camembert-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: camembert-base-EVA
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# camembert-base-EVA
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0088
+- Accuracy: 0.9984
+- Precision: 0.9984
+- Recall: 0.9984
+- F1: 0.9984
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.6524        | 1.0   | 612  | 0.0615          | 0.9853   | 0.9860    | 0.9853 | 0.9854 |
+| 0.1379        | 2.0   | 1224 | 0.0497          | 0.9886   | 0.9887    | 0.9886 | 0.9886 |
+| 0.1208        | 3.0   | 1836 | 0.0088          | 0.9984   | 0.9984    | 0.9984 | 0.9984 |
+| 0.0969        | 4.0   | 2448 | 0.0160          | 0.9967   | 0.9968    | 0.9967 | 0.9967 |
+| 0.0749        | 5.0   | 3060 | 0.0152          | 0.9951   | 0.9952    | 0.9951 | 0.9951 |
+| 0.0501        | 6.0   | 3672 | 0.0340          | 0.9935   | 0.9935    | 0.9935 | 0.9935 |
+| 0.071         | 7.0   | 4284 | 0.1175          | 0.9837   | 0.9845    | 0.9837 | 0.9837 |
+| 0.0669        | 8.0   | 4896 | 0.0721          | 0.9902   | 0.9903    | 0.9902 | 0.9902 |
+
+
+### Framework versions
+
+- Transformers 4.57.1
+- Pytorch 2.9.1
+- Datasets 4.4.1
+- Tokenizers 0.22.1

config.json

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+{
+  "architectures": [
+    "CamembertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.2,
+  "bos_token_id": 5,
+  "classifier_dropout": null,
+  "dtype": "float32",
+  "eos_token_id": 6,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.2,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "afficher_appel",
+    "1": "afficher_chute",
+    "2": "afficher_cible",
+    "3": "annuler",
+    "4": "creer_chute",
+    "5": "creer_transmission_ciblee",
+    "6": "plan_de_soins",
+    "7": "profil"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "afficher_appel": 0,
+    "afficher_chute": 1,
+    "afficher_cible": 2,
+    "annuler": 3,
+    "creer_chute": 4,
+    "creer_transmission_ciblee": 5,
+    "plan_de_soins": 6,
+    "profil": 7
+  },
+  "layer_norm_eps": 1e-05,
+  "max_position_embeddings": 514,
+  "model_type": "camembert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "transformers_version": "4.57.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}

model.safetensors

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+size 442536560

special_tokens_map.json

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+{
+  "additional_special_tokens": [
+    "<s>NOTUSED",
+    "</s>NOTUSED",
+    "<unk>NOTUSED"
+  ],
+  "bos_token": "<s>",
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": {
+    "content": "<mask>",
+    "lstrip": true,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "unk_token": "<unk>"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
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+      "special": true
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+    "32004": {
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+      "lstrip": true,
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+      "lstrip": false,
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+  "additional_special_tokens": [
+    "<s>NOTUSED",
+    "</s>NOTUSED",
+    "<unk>NOTUSED"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": false,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "extra_special_tokens": {},
+  "mask_token": "<mask>",
+  "model_max_length": 512,
+  "pad_token": "<pad>",
+  "sep_token": "</s>",
+  "tokenizer_class": "CamembertTokenizer",
+  "unk_token": "<unk>"
+}

training_args.bin

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