Edit model card

gpt2-lora-592K-snli-model2

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

  • Loss: 0.5249
  • Accuracy: 0.7926

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: 256
  • eval_batch_size: 128
  • seed: 10
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.7231 1.0 2146 0.5854 0.7600
0.6412 2.0 4292 0.5355 0.7867
0.6266 3.0 6438 0.5249 0.7926

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.1+cu121
  • Datasets 2.15.0
  • Tokenizers 0.15.0
Downloads last month
1
Safetensors
Model size
124M params
Tensor type
F32
·

Finetuned from

Dataset used to train varun-v-rao/gpt2-lora-592K-snli-model2

Evaluation results