| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - f1 |
| | model-index: |
| | - name: idp-headers |
| | 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. --> |
| |
|
| | # idp-headers |
| |
|
| | 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: 1.6714 |
| | - F1: 0.4823 |
| |
|
| | ## 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: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:------:| |
| | | 1.7995 | 1.0 | 5 | 1.8557 | 0.1629 | |
| | | 1.7125 | 2.0 | 10 | 1.7832 | 0.1759 | |
| | | 1.6381 | 3.0 | 15 | 1.7243 | 0.4698 | |
| | | 1.5746 | 4.0 | 20 | 1.6857 | 0.4823 | |
| | | 1.5354 | 5.0 | 25 | 1.6714 | 0.4823 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.21.3 |
| | - Pytorch 1.12.1+cu113 |
| | - Tokenizers 0.12.1 |
| |
|
