Upload TFCamembertForTokenClassification

README.md

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+---
+library_name: transformers
+license: mit
+base_model: camembert-base
+tags:
+- generated_from_keras_callback
+model-index:
+- name: CamemBERT-NER-Travel
+  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. -->
+
+# CamemBERT-NER-Travel
+
+This model is a fine-tuned version of [camembert-base](https://huggingface.co/camembert-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Train Loss: 0.0016
+- Train Accuracy: 0.9923
+- Train Entity Accuracy: 0.9789
+- Validation Loss: 0.0017
+- Validation Accuracy: 0.9920
+- Validation Entity Accuracy: 0.9831
+- Epoch: 3
+
+## 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': 'Adam', 'learning_rate': 5e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
+- training_precision: float32
+
+### Training results
+
+| Train Loss | Train Accuracy | Train Entity Accuracy | Validation Loss | Validation Accuracy | Validation Entity Accuracy | Epoch |
+|:----------:|:--------------:|:---------------------:|:---------------:|:-------------------:|:--------------------------:|:-----:|
+| 0.0124     | 0.9677         | 0.8099                | 0.0038          | 0.9799              | 0.9682                     | 0     |
+| 0.0031     | 0.9852         | 0.9684                | 0.0019          | 0.9885              | 0.9820                     | 1     |
+| 0.0020     | 0.9907         | 0.9767                | 0.0016          | 0.9941              | 0.9775                     | 2     |
+| 0.0016     | 0.9923         | 0.9789                | 0.0017          | 0.9920              | 0.9831                     | 3     |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- TensorFlow 2.18.0
+- Tokenizers 0.20.3

config.json

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+{
+  "_name_or_path": "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": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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": "4.46.3",
+  "type_vocab_size": 1,
+  "use_cache": true,
+  "vocab_size": 32005
+}

tf_model.h5

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+version https://git-lfs.github.com/spec/v1
+oid sha256:db4c48a64dfdc92feaaadb28be81263afc11b6195abc5b7fcf9055c6e7d2217a
+size 440422480