| | --- |
| | language: |
| | - en |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - glue |
| | model-index: |
| | - name: pixel-base-finetuned-mrpc |
| | 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. --> |
| |
|
| | # pixel-base-finetuned-mrpc |
| |
|
| | This model is a fine-tuned version of [Team-PIXEL/pixel-base](https://huggingface.co/Team-PIXEL/pixel-base) on the GLUE MRPC dataset. |
| |
|
| | ## 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: 64 |
| | - eval_batch_size: 8 |
| | - seed: 4 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 100 |
| | - training_steps: 15000 |
| | - mixed_precision_training: Apex, opt level O1 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.17.0 |
| | - Pytorch 1.11.0 |
| | - Datasets 2.0.0 |
| | - Tokenizers 0.12.1 |
| | |
