Se124M500KInfSimple / README.md
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End of fine-tuning training
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metadata
library_name: peft
license: mit
base_model: gpt2
tags:
  - generated_from_trainer
model-index:
  - name: Se124M500KInfSimple
    results: []

Se124M500KInfSimple

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

  • Loss: 0.4475

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: 5e-05
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • optimizer: Use OptimizerNames.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: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
0.1287 1.0 8317 0.5023
0.1249 2.0 16634 0.4836
0.1214 3.0 24951 0.4746
0.1225 4.0 33268 0.4691
0.1212 5.0 41585 0.4653
0.1192 6.0 49902 0.4625
0.1203 7.0 58219 0.4595
0.1182 8.0 66536 0.4579
0.117 9.0 74853 0.4565
0.1184 10.0 83170 0.4543
0.1165 11.0 91487 0.4539
0.116 12.0 99804 0.4528
0.117 13.0 108121 0.4515
0.1161 14.0 116438 0.4512
0.1149 15.0 124755 0.4510
0.1157 16.0 133072 0.4503
0.1162 17.0 141389 0.4497
0.1155 18.0 149706 0.4497
0.115 19.0 158023 0.4496
0.1156 20.0 166340 0.4488
0.1156 21.0 174657 0.4492
0.114 22.0 182974 0.4483
0.1122 23.0 191291 0.4488
0.1134 24.0 199608 0.4480
0.114 25.0 207925 0.4476
0.1159 26.0 216242 0.4481
0.115 27.0 224559 0.4475
0.1145 28.0 232876 0.4475
0.1141 29.0 241193 0.4477

Framework versions

  • PEFT 0.15.1
  • Transformers 4.51.3
  • Pytorch 2.6.0+cu118
  • Datasets 3.5.0
  • Tokenizers 0.21.1