marco-c88 / gpt2-finetuned-mstatmem_1ep_2_gpt2

huggingface.co
Total runs: 78
24-hour runs: -2
7-day runs: -151
30-day runs: -89
Model's Last Updated: Março 17 2023
text-generation

Introduction of gpt2-finetuned-mstatmem_1ep_2_gpt2

Model Details of gpt2-finetuned-mstatmem_1ep_2_gpt2

gpt2-finetuned-mstatmem_1ep_2_gpt2

This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.3633
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: 1
Training results
Training Loss Epoch Step Validation Loss
3.6713 1.0 823 3.3633
Framework versions
  • Transformers 4.27.1
  • Pytorch 1.13.1+cu116
  • Datasets 2.10.1
  • Tokenizers 0.13.2

Runs of marco-c88 gpt2-finetuned-mstatmem_1ep_2_gpt2 on huggingface.co

78
Total runs
-2
24-hour runs
-4
3-day runs
-151
7-day runs
-89
30-day runs

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gpt2-finetuned-mstatmem_1ep_2_gpt2 install

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