finetuned_distilgpt2_sst2_negation0.01_pretrainedFalse_epochs10

This model is a fine-tuned version of distilgpt2 on the sst2 dataset. It achieves the following results on the evaluation set:

• Loss: 3.5445

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: 2e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 10

Training results

Framework versions

• Transformers 4.25.1
• Pytorch 1.7.0
• Datasets 2.8.0
• Tokenizers 0.13.2