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gpt2_b156_distily_test

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gpt2
bitnet
1.58b
Distily
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metadata
license: mit
base_model: gpt2
tags:
  - bitnet
  - 1.58b
  - Distily
  - generated_from_trainer
model-index:
  - name: gpt2_b156_distily_test
    results: []

gpt2_b156_distily_test

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

  • Loss: 13852.1602

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: 0.0001
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 1

Training results

Training Loss Epoch Step Validation Loss
No log 0 0 13852.1602

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.0
  • Datasets 2.20.0
  • Tokenizers 0.19.1