|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: MTL-distilbert-base-uncased |
|
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. --> |
|
|
|
# MTL-distilbert-base-uncased |
|
|
|
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: 2.3718 |
|
|
|
## 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: 15 |
|
- eval_batch_size: 15 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15 |
|
- mixed_precision_training: Native AMP |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 3.1225 | 1.0 | 50 | 2.7381 | |
|
| 2.7945 | 2.0 | 100 | 2.6858 | |
|
| 2.7162 | 3.0 | 150 | 2.5329 | |
|
| 2.6526 | 4.0 | 200 | 2.5430 | |
|
| 2.5863 | 5.0 | 250 | 2.4785 | |
|
| 2.5701 | 6.0 | 300 | 2.4415 | |
|
| 2.5362 | 7.0 | 350 | 2.4678 | |
|
| 2.4961 | 8.0 | 400 | 2.4571 | |
|
| 2.4842 | 9.0 | 450 | 2.3915 | |
|
| 2.4697 | 10.0 | 500 | 2.4644 | |
|
| 2.4407 | 11.0 | 550 | 2.3628 | |
|
| 2.4264 | 12.0 | 600 | 2.4008 | |
|
| 2.4321 | 13.0 | 650 | 2.3672 | |
|
| 2.4169 | 14.0 | 700 | 2.3586 | |
|
| 2.4056 | 15.0 | 750 | 2.3705 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.2 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.11.0 |
|
|
