|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-cased |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: da_distilbert |
|
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. --> |
|
|
|
# da_distilbert |
|
|
|
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: 1.5313 |
|
|
|
## 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: 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: 10 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 260 | 1.9208 | |
|
| 2.097 | 2.0 | 520 | 1.7572 | |
|
| 2.097 | 3.0 | 780 | 1.6870 | |
|
| 1.7429 | 4.0 | 1040 | 1.6521 | |
|
| 1.7429 | 5.0 | 1300 | 1.5971 | |
|
| 1.6439 | 6.0 | 1560 | 1.5656 | |
|
| 1.6439 | 7.0 | 1820 | 1.5594 | |
|
| 1.5806 | 8.0 | 2080 | 1.5403 | |
|
| 1.5806 | 9.0 | 2340 | 1.5147 | |
|
| 1.538 | 10.0 | 2600 | 1.5313 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.40.1 |
|
- Pytorch 2.2.1+cu121 |
|
- Datasets 2.19.0 |
|
- Tokenizers 0.19.1 |
|
|
