---
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: 0.2085
- F1: 0.6316
- F5: 0.6072
- Precision: 0.7059
- Recall: 0.5714

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | F5     | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:---------:|:------:|
| No log        | 1.0   | 38   | 0.2641          | 0.0    | 0.0    | 0.0       | 0.0    |
| No log        | 2.0   | 76   | 0.2444          | 0.0    | 0.0    | 0.0       | 0.0    |
| No log        | 3.0   | 114  | 0.2411          | 0.0    | 0.0    | 0.0       | 0.0    |
| No log        | 4.0   | 152  | 0.2419          | 0.0    | 0.0    | 0.0       | 0.0    |
| No log        | 5.0   | 190  | 0.1799          | 0.4375 | 0.3994 | 0.5833    | 0.35   |
| No log        | 6.0   | 228  | 0.2493          | 0.4444 | 0.4641 | 0.4       | 0.5    |
| No log        | 7.0   | 266  | 0.2708          | 0.4444 | 0.4641 | 0.4       | 0.5    |
| No log        | 8.0   | 304  | 0.2356          | 0.5517 | 0.4819 | 0.8889    | 0.4    |
| No log        | 9.0   | 342  | 0.2139          | 0.5333 | 0.4731 | 0.8       | 0.4    |
| No log        | 10.0  | 380  | 0.2477          | 0.4444 | 0.3754 | 0.8571    | 0.3    |


### Framework versions

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