---
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: memobert_NC
  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. -->

# memobert_NC

This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-03](https://huggingface.co/MiMe-MeMo/MeMo-BERT-03) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3259
- F1-score: 0.8947

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 40   | 0.3862          | 0.7719   |
| No log        | 2.0   | 80   | 0.3259          | 0.8947   |
| No log        | 3.0   | 120  | 0.3613          | 0.8725   |
| No log        | 4.0   | 160  | 0.3348          | 0.8947   |
| No log        | 5.0   | 200  | 0.4362          | 0.8615   |
| No log        | 6.0   | 240  | 0.3633          | 0.8902   |
| No log        | 7.0   | 280  | 0.3475          | 0.8921   |
| No log        | 8.0   | 320  | 0.4318          | 0.8835   |
| No log        | 9.0   | 360  | 0.4266          | 0.8812   |
| No log        | 10.0  | 400  | 0.4330          | 0.8902   |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1