---
license: mit
tags:
- generated_from_trainer
model-index:
- name: camember_jb
  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. -->

# camember_jb

This model is a fine-tuned version of [Jean-Baptiste/camembert-ner](https://huggingface.co/Jean-Baptiste/camembert-ner) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.1450
- eval_overall_precision: 0.7188
- eval_overall_recall: 0.7287
- eval_overall_f1: 0.7238
- eval_overall_accuracy: 0.9703
- eval_HumanProd_f1: 0.1961
- eval_LOC_f1: 0.7492
- eval_ORG_f1: 0.4609
- eval_PER_f1: 0.7763
- eval_runtime: 124.2883
- eval_samples_per_second: 19.704
- eval_steps_per_second: 1.239
- epoch: 2.0
- step: 1226

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cpu
- Datasets 2.7.1
- Tokenizers 0.13.2