---
base_model: MiMe-MeMo/MeMo-BERT-03
tags:
- generated_from_trainer
model-index:
- name: memobert_NCS
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# memobert_NCS

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: 0.4169
- F1-score: 0.8127

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.4805        | 1.0   | 504  | 0.4169          | 0.8127   |
| 0.3748        | 2.0   | 1008 | 0.4367          | 0.8110   |
| 0.2404        | 3.0   | 1512 | 0.5782          | 0.8112   |
| 0.1523        | 4.0   | 2016 | 0.8041          | 0.8061   |
| 0.0838        | 5.0   | 2520 | 1.0791          | 0.8007   |
| 0.047         | 6.0   | 3024 | 1.3892          | 0.7851   |
| 0.0314        | 7.0   | 3528 | 1.4142          | 0.7890   |
| 0.0171        | 8.0   | 4032 | 1.4453          | 0.7939   |
| 0.0096        | 9.0   | 4536 | 1.5124          | 0.7933   |
| 0.0103        | 10.0  | 5040 | 1.5355          | 0.7943   |


### Framework versions

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