anushkat's picture
End of training
fdb0816 verified
metadata
license: apache-2.0
library_name: peft
tags:
  - generated_from_trainer
base_model: wvangils/DistilGPT2-Beatles-Lyrics-finetuned
model-index:
  - name: DistilGPT2-Beatles-Spotify-FinalVersion
    results: []

DistilGPT2-Beatles-Spotify-FinalVersion

This model is a fine-tuned version of wvangils/DistilGPT2-Beatles-Lyrics-finetuned on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8839

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: 2
  • eval_batch_size: 16
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 1
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
2.1125 0.0 25 1.9245
2.1035 0.0 50 1.9315
2.1064 0.0 75 1.9184
2.0874 0.0 100 1.9101
2.0948 0.0 125 1.9143
2.1088 0.0 150 1.8953
2.0612 0.01 175 1.9130
2.0828 0.01 200 1.9046
2.0676 0.01 225 1.8950
2.072 0.01 250 1.9092
2.0748 0.01 275 1.8814
2.0769 0.01 300 1.8948
2.068 0.01 325 1.8921
2.0513 0.01 350 1.8904
2.0686 0.01 375 1.8794
2.0702 0.01 400 1.8800
2.059 0.01 425 1.8780
2.0562 0.01 450 1.8841
2.0705 0.01 475 1.8824
2.0675 0.02 500 1.8839

Framework versions

  • PEFT 0.8.2
  • Transformers 4.38.1
  • Pytorch 1.13.1
  • Datasets 2.17.0
  • Tokenizers 0.15.2