update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: 6_epochs_camembert
+  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. -->
+
+# 6_epochs_camembert
+
+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: 0.0932
+- eval_overall_precision: 0.8072
+- eval_overall_recall: 0.8431
+- eval_overall_f1: 0.8248
+- eval_overall_accuracy: 0.9778
+- eval_ER_f1: 0.8520
+- eval_OC_f1: 0.8029
+- eval_umanProd_f1: 0.6333
+- eval_runtime: 120.9649
+- eval_samples_per_second: 20.246
+- eval_steps_per_second: 1.273
+- epoch: 6.0
+- step: 3678
+
+## 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: 6
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cpu
+- Datasets 2.7.1
+- Tokenizers 0.13.2