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sft_cml4

This model is a fine-tuned version of gpt2 on the ag_news dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3980

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

Training results

Training Loss Epoch Step Validation Loss
3.7271 0.32 200 3.6065
3.346 0.64 400 3.4732
3.0685 0.96 600 3.3985
2.1435 1.28 800 3.4433
1.9834 1.6 1000 3.4203
1.8937 1.92 1200 3.3980

Framework versions

  • Transformers 4.34.1
  • Pytorch 2.0.1+cu118
  • Datasets 2.14.4
  • Tokenizers 0.14.0
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Finetuned from

Dataset used to train osanseviero/sft_cml4