gpt2-concat-finetune-cl-mod-datasets-rarity1

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gpt2-concat-finetune-cl-mod-datasets-rarity1

This model was trained from scratch on the generator dataset. It achieves the following results on the evaluation set:

• Loss: 2.6666

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: 0.0005
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• lr_scheduler_warmup_steps: 1000
• num_epochs: 5
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.26.1
• Pytorch 1.11.0+cu113
• Datasets 2.13.0
• Tokenizers 0.13.3