CFDistilGPT / README.md
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metadata
base_model: distilgpt2
library_name: transformers
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: CFDistilGPT
    results: []

CFDistilGPT

This model is a fine-tuned version of distilgpt2 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 2.9080

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 20

Training results

Training Loss Epoch Step Validation Loss
No log 1.0 140 3.2381
No log 2.0 280 3.1353
No log 3.0 420 3.0809
3.2346 4.0 560 3.0432
3.2346 5.0 700 3.0202
3.2346 6.0 840 2.9960
3.2346 7.0 980 2.9784
2.9216 8.0 1120 2.9666
2.9216 9.0 1260 2.9535
2.9216 10.0 1400 2.9435
2.7856 11.0 1540 2.9330
2.7856 12.0 1680 2.9253
2.7856 13.0 1820 2.9221
2.7856 14.0 1960 2.9184
2.6979 15.0 2100 2.9159
2.6979 16.0 2240 2.9133
2.6979 17.0 2380 2.9096
2.6479 18.0 2520 2.9102
2.6479 19.0 2660 2.9080
2.6479 20.0 2800 2.9080

Framework versions

  • Transformers 4.46.1
  • Pytorch 2.4.0+cu121
  • Datasets 3.0.1
  • Tokenizers 0.20.1