|
--- |
|
license: mit |
|
base_model: microsoft/mdeberta-v3-base |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: MRC_ER_mdeberta-v3-base_syl_ViWikiFC |
|
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. --> |
|
|
|
# MRC_ER_mdeberta-v3-base_syl_ViWikiFC |
|
|
|
This model is a fine-tuned version of [microsoft/mdeberta-v3-base](https://huggingface.co/microsoft/mdeberta-v3-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.5168 |
|
- Exact Match: 0.7703 |
|
- F1: 0.7925 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 4 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Exact Match | F1 | |
|
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:| |
|
| 0.6752 | 1.0 | 4185 | 2.1250 | 0.7421 | 0.7696 | |
|
| 0.5728 | 2.0 | 8370 | 1.9436 | 0.7660 | 0.7865 | |
|
| 0.4473 | 3.0 | 12555 | 2.1698 | 0.7569 | 0.7796 | |
|
| 0.3166 | 4.0 | 16740 | 2.3835 | 0.7708 | 0.7945 | |
|
| 0.2525 | 5.0 | 20925 | 2.5168 | 0.7703 | 0.7925 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.39.3 |
|
- Pytorch 2.1.2 |
|
- Datasets 2.18.0 |
|
- Tokenizers 0.15.2 |
|
|
