|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: distilbert-base-cased |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
model-index: |
|
|
- name: distilbert-base-cased-document-casual |
|
|
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. --> |
|
|
|
|
|
# distilbert-base-cased-document-casual |
|
|
|
|
|
This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.2732 |
|
|
- F1-score: 0.9033 |
|
|
|
|
|
## 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: 8 |
|
|
- seed: 42 |
|
|
- gradient_accumulation_steps: 4 |
|
|
- total_train_batch_size: 64 |
|
|
- 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 | F1-score | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:--------:| |
|
|
| 0.1376 | 0.97 | 15 | 0.6716 | 0.7342 | |
|
|
| 0.0517 | 2.0 | 31 | 0.3222 | 0.9350 | |
|
|
| 0.0075 | 2.97 | 46 | 0.2732 | 0.9033 | |
|
|
| 0.0032 | 4.0 | 62 | 0.2932 | 0.9033 | |
|
|
| 0.0024 | 4.84 | 75 | 0.2914 | 0.9033 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.39.0.dev0 |
|
|
- Pytorch 2.1.2+cu121 |
|
|
- Datasets 2.16.1 |
|
|
- Tokenizers 0.15.2 |
|
|
|
