---
license: apache-2.0
base_model: morten-j/Mehdie_Extended-mBERT
tags:
- generated_from_trainer
metrics:
- f1
- precision
- recall
model-index:
- name: fine_tuned_emBERT
  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. -->

# fine_tuned_emBERT

This model is a fine-tuned version of [morten-j/Mehdie_Extended-mBERT](https://huggingface.co/morten-j/Mehdie_Extended-mBERT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1441
- F1: 0.7568
- F5: 0.7196
- Precision: 0.875
- Recall: 0.6667

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 6
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | F5     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:|
| No log        | 1.0   | 30   | 0.3540          | 0.0    | 0.0    | 0.0       | 0.0    |
| No log        | 2.0   | 60   | 0.2975          | 0.4348 | 0.4077 | 0.5263    | 0.3704 |
| No log        | 3.0   | 90   | 0.3550          | 0.45   | 0.3969 | 0.6923    | 0.3333 |
| No log        | 4.0   | 120  | 0.2962          | 0.5405 | 0.4598 | 1.0       | 0.3704 |
| No log        | 5.0   | 150  | 0.2629          | 0.5909 | 0.5437 | 0.7647    | 0.4815 |
| No log        | 6.0   | 180  | 0.2459          | 0.5778 | 0.5368 | 0.7222    | 0.4815 |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.2.1+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2