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gpt-2-spiritualtest-3

This model is a fine-tuned version of Aharneish/gpt-2-spiritualtest-3 on the None dataset. It achieves the following results on the evaluation set:

• eval_loss: 0.2536
• eval_runtime: 3.2127
• eval_samples_per_second: 261.153
• eval_steps_per_second: 32.683
• epoch: 7.42
• step: 14000

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: 0.001
• train_batch_size: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 30

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.0