| | --- |
| | license: other |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: distilbert-allsides |
| | 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. --> |
| |
|
| | # distilbert-allsides |
| |
|
| | This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.9138 |
| | - Acc: 0.7094 |
| |
|
| | ## 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: 3e-05 |
| | - train_batch_size: 32 |
| | - eval_batch_size: 32 |
| | - seed: 12345 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 16 |
| | - num_epochs: 20 |
| | - mixed_precision_training: Native AMP |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Acc | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 0.7667 | 1.0 | 822 | 0.7003 | 0.6820 | |
| | | 0.6893 | 2.0 | 1644 | 0.6619 | 0.6981 | |
| | | 0.6177 | 3.0 | 2466 | 0.6736 | 0.7064 | |
| | | 0.595 | 4.0 | 3288 | 0.6642 | 0.7091 | |
| | | 0.5179 | 5.0 | 4110 | 0.6936 | 0.7121 | |
| | | 0.4698 | 6.0 | 4932 | 0.7670 | 0.7106 | |
| | | 0.463 | 7.0 | 5754 | 0.8537 | 0.7121 | |
| | | 0.4345 | 8.0 | 6576 | 0.9138 | 0.7094 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.11.3 |
| | - Pytorch 1.10.1 |
| | - Datasets 1.17.0 |
| | - Tokenizers 0.10.3 |
| | |
