Training in progress epoch 0

README.md

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+---
+library_name: transformers
+license: mit
+base_model: almanach/camembert-base
+tags:
+- generated_from_keras_callback
+model-index:
+- name: AntoineBourgois/NER_lvl_0_super
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information Keras had access to. You should
+probably proofread and complete it, then remove this comment. -->
+
+# AntoineBourgois/NER_lvl_0_super
+
+This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.8701
+- Validation Loss: 0.4428
+- Train Precision: 0.8813
+- Train Recall: 0.8304
+- Train F1: 0.8551
+- Train Accuracy: 0.9551
+- Epoch: 0
+
+## 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:
+- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 1770, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
+|:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
+| 0.8701     | 0.4428          | 0.8813          | 0.8304       | 0.8551   | 0.9551         | 0     |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- TensorFlow 2.18.0
+- Datasets 3.1.0
+- Tokenizers 0.20.0

added_tokens.json

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config.json

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+{
+  "_name_or_path": "almanach/camembert-base",
+  "architectures": [
+    "CamembertForTokenClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "bos_token_id": 5,
+  "classifier_dropout": null,
+  "eos_token_id": 6,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "O",
+    "1": "B-PER",
+    "2": "I-PER",
+    "3": "I-FAC",
+    "4": "I-TIME",
+    "5": "B-FAC",
+    "6": "B-TIME",
+    "7": "I-LOC",
+    "8": "B-GPE",
+    "9": "B-LOC",
+    "10": "I-VEH",
+    "11": "B-VEH",
+    "12": "I-GPE"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "B-FAC": 5,
+    "B-GPE": 8,
+    "B-LOC": 9,
+    "B-PER": 1,
+    "B-TIME": 6,
+    "B-VEH": 11,
+    "I-FAC": 3,
+    "I-GPE": 12,
+    "I-LOC": 7,
+    "I-PER": 2,
+    "I-TIME": 4,
+    "I-VEH": 10,
+    "O": 0
+  },
+  "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",
+  "transformers_version": "4.45.1",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}

sentencepiece.bpe.model

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special_tokens_map.json

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tf_model.h5

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tokenizer_config.json

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+}