| --- |
| license: mit |
| tags: |
| - generated_from_trainer |
| datasets: |
| - crows_pairs |
| metrics: |
| - accuracy |
| model-index: |
| - name: crowspairs_trainer_roberta-large_finetuned |
| results: |
| - task: |
| name: Text Classification |
| type: text-classification |
| dataset: |
| name: crows_pairs |
| type: crows_pairs |
| config: crows_pairs |
| split: test |
| args: crows_pairs |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.4966887417218543 |
| --- |
| |
| <!-- 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. --> |
|
|
| # crowspairs_trainer_roberta-large_finetuned |
| |
| This model is a fine-tuned version of [roberta-large](https://huggingface.co/roberta-large) on the crows_pairs dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6933 |
| - Accuracy: 0.4967 |
|
|
| ## 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: 5e-05 |
| - train_batch_size: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | No log | 0.53 | 20 | 0.6942 | 0.5033 | |
| | No log | 1.05 | 40 | 0.6943 | 0.4967 | |
| | No log | 1.58 | 60 | 0.7100 | 0.4967 | |
| | No log | 2.11 | 80 | 0.6937 | 0.4967 | |
| | No log | 2.63 | 100 | 0.6937 | 0.4967 | |
| | No log | 3.16 | 120 | 0.6936 | 0.4967 | |
| | No log | 3.68 | 140 | 0.6931 | 0.5033 | |
| | No log | 4.21 | 160 | 0.6938 | 0.4967 | |
| | No log | 4.74 | 180 | 0.6933 | 0.4967 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.23.1 |
| - Pytorch 1.12.1 |
| - Datasets 2.6.1 |
| - Tokenizers 0.13.1 |
|
|
