| | --- |
| | language: |
| | - en |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: gpt2-small-mt |
| | 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. --> |
| |
|
| | # gpt2-small-mt |
| |
|
| | This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the MapTask dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0708 |
| | - Accuracy: 0.5562 |
| |
|
| | ## Model description |
| |
|
| | More details soon. |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More details soon. |
| |
|
| | ## Training and evaluation data |
| |
|
| | More details soon. |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-05 |
| | - train_batch_size: 5 |
| | - eval_batch_size: 5 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20.0 |
| |
|
| | ### Training results |
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|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.0 |
| | - Pytorch 1.13.1 |
| | - Datasets 2.9.0 |
| | - Tokenizers 0.13.0.dev0 |
| |
|
