|
--- |
|
library_name: transformers |
|
base_model: MiMe-MeMo/MeMo-BERT-03 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: memobert3_ED1 |
|
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. --> |
|
|
|
# memobert3_ED1 |
|
|
|
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: 0.2698 |
|
- F1-score: 0.9344 |
|
|
|
## 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: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1-score | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
| No log | 1.0 | 69 | 0.2789 | 0.8934 | |
|
| No log | 2.0 | 138 | 0.3454 | 0.8839 | |
|
| No log | 3.0 | 207 | 0.2698 | 0.9344 | |
|
| No log | 4.0 | 276 | 0.4248 | 0.9262 | |
|
| No log | 5.0 | 345 | 0.5399 | 0.9097 | |
|
| No log | 6.0 | 414 | 0.5981 | 0.8933 | |
|
| No log | 7.0 | 483 | 0.6430 | 0.9013 | |
|
| 0.1618 | 8.0 | 552 | 0.6388 | 0.9096 | |
|
| 0.1618 | 9.0 | 621 | 0.6361 | 0.9096 | |
|
| 0.1618 | 10.0 | 690 | 0.6451 | 0.9096 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
