Yotheblack/camenbert-entity-recognition

README.md

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+---
+library_name: transformers
+license: mit
+base_model: almanach/camembert-base
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: camenbert-entity-recognition
+  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. -->
+
+# camenbert-entity-recognition
+
+This model is a fine-tuned version of [almanach/camembert-base](https://huggingface.co/almanach/camembert-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0117
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0.0
+- Accuracy: 0.9979
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1  | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:---:|:--------:|
+| No log        | 1.0   | 160  | 0.0107          | 0.0       | 0.0    | 0.0 | 0.9980   |
+| No log        | 2.0   | 320  | 0.0108          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| No log        | 3.0   | 480  | 0.0112          | 0.0       | 0.0    | 0.0 | 0.9980   |
+| 0.0003        | 4.0   | 640  | 0.0115          | 0.0       | 0.0    | 0.0 | 0.9979   |
+| 0.0003        | 5.0   | 800  | 0.0112          | 0.0       | 0.0    | 0.0 | 0.9980   |
+| 0.0003        | 6.0   | 960  | 0.0112          | 0.0       | 0.0    | 0.0 | 0.9981   |
+| 0.0004        | 7.0   | 1120 | 0.0117          | 0.0       | 0.0    | 0.0 | 0.9979   |
+| 0.0004        | 8.0   | 1280 | 0.0112          | 0.0       | 0.0    | 0.0 | 0.9980   |
+| 0.0004        | 9.0   | 1440 | 0.0115          | 0.0       | 0.0    | 0.0 | 0.9980   |
+| 0.0005        | 10.0  | 1600 | 0.0117          | 0.0       | 0.0    | 0.0 | 0.9979   |
+
+
+### Framework versions
+
+- Transformers 4.46.2
+- Pytorch 2.5.1
+- Datasets 3.1.0
+- Tokenizers 0.20.3

model.safetensors

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