|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
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: 2.2486 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 15 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| No log | 1.0 | 94 | 2.6014 | |
|
| No log | 2.0 | 188 | 2.3898 | |
|
| No log | 3.0 | 282 | 2.3706 | |
|
| No log | 4.0 | 376 | 2.2708 | |
|
| No log | 5.0 | 470 | 2.2666 | |
|
| 2.5403 | 6.0 | 564 | 2.2639 | |
|
| 2.5403 | 7.0 | 658 | 2.3061 | |
|
| 2.5403 | 8.0 | 752 | 2.2659 | |
|
| 2.5403 | 9.0 | 846 | 2.1882 | |
|
| 2.5403 | 10.0 | 940 | 2.2198 | |
|
| 2.2739 | 11.0 | 1034 | 2.1124 | |
|
| 2.2739 | 12.0 | 1128 | 2.1887 | |
|
| 2.2739 | 13.0 | 1222 | 2.1740 | |
|
| 2.2739 | 14.0 | 1316 | 2.1517 | |
|
| 2.2739 | 15.0 | 1410 | 2.1510 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.16.2 |
|
- Pytorch 1.10.0+cu111 |
|
- Datasets 1.18.3 |
|
- Tokenizers 0.11.0 |
|
|
