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gpt2-small-mt

This model is a fine-tuned version of 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

Framework versions

• Transformers 4.26.0
• Pytorch 1.13.1
• Datasets 2.9.0
• Tokenizers 0.13.0.dev0