| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: FacebookAI/roberta-large |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: test-glue |
| | 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. --> |
| |
|
| | # test-glue |
| |
|
| | This model is a fine-tuned version of [FacebookAI/roberta-large](https://huggingface.co/FacebookAI/roberta-large) on OpenbookQA dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.1829 |
| | - Accuracy: 0.6480 |
| |
|
| | ## 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: 1e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 77 |
| | - gradient_accumulation_steps: 2 |
| | - total_train_batch_size: 32 |
| | - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-06 and optimizer_args=No additional optimizer arguments |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 100 |
| | - num_epochs: 8 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 155 | 1.2222 | 0.4680 | |
| | | No log | 2.0 | 310 | 1.0994 | 0.5320 | |
| | | No log | 3.0 | 465 | 1.0083 | 0.5960 | |
| | | 1.0791 | 4.0 | 620 | 1.0442 | 0.6040 | |
| | | 1.0791 | 5.0 | 775 | 1.0182 | 0.6320 | |
| | | 1.0791 | 6.0 | 930 | 1.0570 | 0.6480 | |
| | | 0.5044 | 7.0 | 1085 | 1.1399 | 0.6480 | |
| | | 0.5044 | 8.0 | 1240 | 1.1829 | 0.6480 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.52.0.dev0 |
| | - Pytorch 2.6.0+cu124 |
| | - Datasets 3.5.2.dev0 |
| | - Tokenizers 0.21.1 |
| |
|
