VIT_ara_gpt2

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

• eval_loss: 3.3934
• eval_rouge2_precision: 0.0
• eval_rouge2_recall: 0.0
• eval_rouge2_fmeasure: 0.0
• eval_runtime: 1818.7738
• eval_samples_per_second: 1.329
• eval_steps_per_second: 0.042
• epoch: 1.0
• step: 1360

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: 5e-05
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1024
• num_epochs: 3

Framework versions

• Transformers 4.38.0.dev0
• Pytorch 2.1.2
• Datasets 2.1.0
• Tokenizers 0.15.1