|
--- |
|
license: apache-2.0 |
|
base_model: Ariffiq99/CRAB_COPA_albert_base_finetuned |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- f1 |
|
model-index: |
|
- name: e_care_CRAB_COPA_albert_base_finetuned |
|
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. --> |
|
|
|
# e_care_CRAB_COPA_albert_base_finetuned |
|
|
|
This model is a fine-tuned version of [Ariffiq99/CRAB_COPA_albert_base_finetuned](https://huggingface.co/Ariffiq99/CRAB_COPA_albert_base_finetuned) on an unknown dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.7816 |
|
- F1: 0.6645 |
|
|
|
## 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: 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: 7 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
| 0.6632 | 1.0 | 933 | 0.6928 | 0.5457 | |
|
| 0.6983 | 2.0 | 1866 | 0.6931 | 0.5320 | |
|
| 0.6964 | 3.0 | 2799 | 0.6931 | 0.5226 | |
|
| 0.6962 | 4.0 | 3732 | 0.6402 | 0.6155 | |
|
| 0.579 | 5.0 | 4665 | 0.5831 | 0.6758 | |
|
| 0.4331 | 6.0 | 5598 | 0.6612 | 0.6706 | |
|
| 0.3198 | 7.0 | 6531 | 0.7816 | 0.6645 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.41.1 |
|
- Pytorch 2.3.0+cu121 |
|
- Datasets 2.19.2 |
|
- Tokenizers 0.19.1 |
|
|
