---
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: 1.1432
- F1-score: 0.5216

## 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   | 297  | 1.0214          | 0.4174   |
| 1.0021        | 2.0   | 594  | 1.0031          | 0.4947   |
| 1.0021        | 3.0   | 891  | 1.1432          | 0.5216   |
| 0.7732        | 4.0   | 1188 | 1.5043          | 0.4980   |
| 0.7732        | 5.0   | 1485 | 2.0586          | 0.4878   |
| 0.5308        | 6.0   | 1782 | 1.9069          | 0.4611   |
| 0.4125        | 7.0   | 2079 | 2.4514          | 0.4807   |
| 0.4125        | 8.0   | 2376 | 2.7144          | 0.4941   |
| 0.2539        | 9.0   | 2673 | 2.7355          | 0.5074   |
| 0.2539        | 10.0  | 2970 | 3.4404          | 0.5034   |
| 0.1538        | 11.0  | 3267 | 3.6571          | 0.4976   |
| 0.107         | 12.0  | 3564 | 3.8279          | 0.4992   |
| 0.107         | 13.0  | 3861 | 3.8366          | 0.4825   |
| 0.0402        | 14.0  | 4158 | 4.1133          | 0.4942   |
| 0.0402        | 15.0  | 4455 | 4.2386          | 0.4851   |
| 0.0434        | 16.0  | 4752 | 4.4226          | 0.4938   |
| 0.0127        | 17.0  | 5049 | 4.5016          | 0.5051   |
| 0.0127        | 18.0  | 5346 | 4.5485          | 0.5000   |
| 0.0064        | 19.0  | 5643 | 4.6323          | 0.4810   |
| 0.0064        | 20.0  | 5940 | 4.6424          | 0.4885   |


### Framework versions

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