---
base_model: MiMe-MeMo/MeMo-BERT-01
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-SA_1
  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. -->

# MeMo_BERT-SA_1

This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-01](https://huggingface.co/MiMe-MeMo/MeMo-BERT-01) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7236
- F1-score: 0.5887

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 265  | 1.0173          | 0.4110   |
| 0.9885        | 2.0   | 530  | 0.9694          | 0.5053   |
| 0.9885        | 3.0   | 795  | 1.1486          | 0.4695   |
| 0.7354        | 4.0   | 1060 | 1.1729          | 0.5363   |
| 0.7354        | 5.0   | 1325 | 1.2851          | 0.5822   |
| 0.4299        | 6.0   | 1590 | 1.7236          | 0.5887   |
| 0.4299        | 7.0   | 1855 | 2.3852          | 0.5426   |
| 0.2854        | 8.0   | 2120 | 2.7498          | 0.5503   |
| 0.2854        | 9.0   | 2385 | 3.1832          | 0.5475   |
| 0.1251        | 10.0  | 2650 | 3.3652          | 0.5563   |
| 0.1251        | 11.0  | 2915 | 3.4598          | 0.5594   |
| 0.0711        | 12.0  | 3180 | 3.5185          | 0.5499   |
| 0.0711        | 13.0  | 3445 | 3.5487          | 0.5578   |
| 0.0328        | 14.0  | 3710 | 3.8292          | 0.5437   |
| 0.0328        | 15.0  | 3975 | 3.8419          | 0.5517   |
| 0.013         | 16.0  | 4240 | 3.9292          | 0.5496   |
| 0.0089        | 17.0  | 4505 | 3.9444          | 0.5684   |
| 0.0089        | 18.0  | 4770 | 4.0013          | 0.5659   |
| 0.0025        | 19.0  | 5035 | 4.0913          | 0.5675   |
| 0.0025        | 20.0  | 5300 | 4.0899          | 0.5653   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2