---
base_model: MiMe-MeMo/MeMo-BERT-02
tags:
- generated_from_trainer
model-index:
- name: MeMo_BERT-WSD-02
  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-WSD-02

This model is a fine-tuned version of [MiMe-MeMo/MeMo-BERT-02](https://huggingface.co/MiMe-MeMo/MeMo-BERT-02) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 3.4274
- F1-score: 0.3523

## 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   | 61   | 1.6387          | 0.1229   |
| No log        | 2.0   | 122  | 1.4760          | 0.2016   |
| No log        | 3.0   | 183  | 1.4995          | 0.2754   |
| No log        | 4.0   | 244  | 1.9750          | 0.2519   |
| No log        | 5.0   | 305  | 2.3945          | 0.3115   |
| No log        | 6.0   | 366  | 2.9512          | 0.2336   |
| No log        | 7.0   | 427  | 3.3875          | 0.2933   |
| No log        | 8.0   | 488  | 3.4274          | 0.3523   |
| 0.6662        | 9.0   | 549  | 3.8142          | 0.3244   |
| 0.6662        | 10.0  | 610  | 4.3089          | 0.3271   |
| 0.6662        | 11.0  | 671  | 4.4936          | 0.2806   |
| 0.6662        | 12.0  | 732  | 4.4328          | 0.2893   |
| 0.6662        | 13.0  | 793  | 4.8685          | 0.2353   |
| 0.6662        | 14.0  | 854  | 4.4432          | 0.3018   |
| 0.6662        | 15.0  | 915  | 4.6090          | 0.2820   |
| 0.6662        | 16.0  | 976  | 4.5783          | 0.2871   |
| 0.0033        | 17.0  | 1037 | 4.6179          | 0.2871   |
| 0.0033        | 18.0  | 1098 | 4.7173          | 0.2847   |
| 0.0033        | 19.0  | 1159 | 4.7240          | 0.3029   |
| 0.0033        | 20.0  | 1220 | 4.7167          | 0.3029   |


### Framework versions

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