|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
base_model: bert-base-uncased |
|
model-index: |
|
- name: MTL-bert-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-bert-base-uncased |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.9283 |
|
|
|
## 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: 7 |
|
- eval_batch_size: 7 |
|
- 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 | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.4409 | 1.0 | 99 | 2.1982 | |
|
| 2.2905 | 2.0 | 198 | 2.1643 | |
|
| 2.1974 | 3.0 | 297 | 2.1168 | |
|
| 2.15 | 4.0 | 396 | 2.0023 | |
|
| 2.0823 | 5.0 | 495 | 2.0199 | |
|
| 2.0752 | 6.0 | 594 | 1.9061 | |
|
| 2.0408 | 7.0 | 693 | 1.9770 | |
|
| 1.9984 | 8.0 | 792 | 1.9322 | |
|
| 1.9933 | 9.0 | 891 | 1.9167 | |
|
| 1.9806 | 10.0 | 990 | 1.9652 | |
|
| 1.9436 | 11.0 | 1089 | 1.9308 | |
|
| 1.9491 | 12.0 | 1188 | 1.9064 | |
|
| 1.929 | 13.0 | 1287 | 1.8831 | |
|
| 1.9096 | 14.0 | 1386 | 1.8927 | |
|
| 1.9032 | 15.0 | 1485 | 1.9117 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.2 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.11.0 |
|
|
