<!-- 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. -->

finetuned_distilgpt2_sst2_negation0.0_pretrainedTrue_epochs0

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

• eval_loss: 4.6217
• eval_runtime: 0.9515
• eval_samples_per_second: 193.385
• eval_steps_per_second: 24.173
• step: 0

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: 0

Framework versions

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