---
base_model: yemen2016/memo_model
tags:
- generated_from_trainer
model-index:
- name: new_memo_model
  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. -->

# new_memo_model

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: 0.7214
- F1-score: 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: 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   | 11   | 0.7214          | 0.6667   |
| No log        | 2.0   | 22   | 1.2543          | 0.5429   |
| No log        | 3.0   | 33   | 1.0829          | 0.6837   |
| No log        | 4.0   | 44   | 1.3815          | 0.7552   |
| No log        | 5.0   | 55   | 1.4733          | 0.7005   |
| No log        | 6.0   | 66   | 2.3876          | 0.5513   |
| No log        | 7.0   | 77   | 1.3215          | 0.8004   |
| No log        | 8.0   | 88   | 1.4006          | 0.7608   |
| No log        | 9.0   | 99   | 1.4862          | 0.7608   |
| No log        | 10.0  | 110  | 1.4974          | 0.7608   |
| No log        | 11.0  | 121  | 1.4966          | 0.7608   |
| No log        | 12.0  | 132  | 1.5040          | 0.7608   |
| No log        | 13.0  | 143  | 1.5010          | 0.7608   |
| No log        | 14.0  | 154  | 1.4741          | 0.7608   |
| No log        | 15.0  | 165  | 1.4507          | 0.7608   |
| No log        | 16.0  | 176  | 1.4420          | 0.7608   |
| No log        | 17.0  | 187  | 1.4398          | 0.7608   |
| No log        | 18.0  | 198  | 1.4426          | 0.7608   |
| No log        | 19.0  | 209  | 1.4438          | 0.7608   |
| No log        | 20.0  | 220  | 1.4439          | 0.7608   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1