---
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