GPT2-705M-finaltest / README.md
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metadata
tags:
  - generated_from_trainer
model-index:
  - name: GPT2-705M
    results: []

GPT2-705M

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

  • Loss: 3.5063

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: 0.00025
  • train_batch_size: 16
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 8
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 50
  • num_epochs: 15
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
6.8119 1.0 3 6.8091
6.6598 2.0 6 6.8246
6.0219 3.0 9 6.2434
5.1608 4.0 12 5.4866
4.6874 5.0 15 5.7119
4.7554 6.0 18 4.9916
4.3244 7.0 21 4.8076
4.3358 8.0 24 4.7170
4.3353 9.0 27 4.4035
4.0477 10.0 30 4.1959
3.7513 11.0 33 3.9729
3.7101 12.0 36 3.8325
3.333 13.0 39 3.7540
3.3225 14.0 42 3.6116
2.9902 15.0 45 3.5063

Framework versions

  • Transformers 4.39.1
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0