aochildes-rarity-2 / README.md
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metadata
license: mit
tags:
  - generated_from_trainer
datasets:
  - generator
model-index:
  - name: aochildes-rarity-2
    results: []

aochildes-rarity-2

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

  • Loss: 4.1181

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: 6
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
6.351 0.29 500 5.3358
5.0412 0.59 1000 4.9250
4.7138 0.88 1500 4.6868
4.4435 1.17 2000 4.5444
4.3073 1.47 2500 4.4317
4.205 1.76 3000 4.3274
4.0796 2.05 3500 4.2630
3.8987 2.35 4000 4.2145
3.8749 2.64 4500 4.1579
3.8421 2.93 5000 4.1113
3.6388 3.23 5500 4.1089
3.5906 3.52 6000 4.0804
3.5776 3.81 6500 4.0451
3.4712 4.11 7000 4.0519
3.3209 4.4 7500 4.0435
3.3179 4.69 8000 4.0297
3.3071 4.99 8500 4.0193
3.1447 5.28 9000 4.0337
3.1394 5.57 9500 4.0322
3.1343 5.87 10000 4.0318

Framework versions

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