---
tags:
- generated_from_trainer
model-index:
- name: ner-bert-ingredients
  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. -->

# ner-bert-ingredients

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.3555

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 50
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0466        | 10.0  | 10   | 4.7461          |
| 0.0213        | 20.0  | 20   | 4.9241          |
| 0.01          | 30.0  | 30   | 5.0407          |
| 0.0063        | 40.0  | 40   | 5.1613          |
| 0.0043        | 50.0  | 50   | 5.3555          |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0