|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: 20split_dataset_version2 |
|
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. --> |
|
|
|
# 20split_dataset_version2 |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 2.0648 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 16 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:------:|:---------------:| |
|
| 2.7606 | 1.0 | 11851 | 2.5274 | |
|
| 2.5475 | 2.0 | 23702 | 2.4189 | |
|
| 2.4456 | 3.0 | 35553 | 2.3622 | |
|
| 2.3777 | 4.0 | 47404 | 2.3091 | |
|
| 2.3155 | 5.0 | 59255 | 2.2764 | |
|
| 2.2715 | 6.0 | 71106 | 2.2445 | |
|
| 2.2301 | 7.0 | 82957 | 2.2182 | |
|
| 2.1896 | 8.0 | 94808 | 2.1968 | |
|
| 2.1562 | 9.0 | 106659 | 2.1720 | |
|
| 2.1271 | 10.0 | 118510 | 2.1484 | |
|
| 2.0981 | 11.0 | 130361 | 2.1264 | |
|
| 2.0743 | 12.0 | 142212 | 2.1157 | |
|
| 2.048 | 13.0 | 154063 | 2.0943 | |
|
| 2.0264 | 14.0 | 165914 | 2.0814 | |
|
| 2.009 | 15.0 | 177765 | 2.0732 | |
|
| 1.9962 | 16.0 | 189616 | 2.0648 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.20.1 |
|
- Pytorch 1.12.0+cu113 |
|
- Datasets 2.3.2 |
|
- Tokenizers 0.12.1 |
|
|
