Edit model card

fresh-2-layer-qasc2000-distill-of-fresh-2-layer-gpqa_EVAL_gpqa

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

  • Loss: 14.9062
  • Accuracy: 0.4192

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: 32
  • eval_batch_size: 32
  • seed: 321
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 500
  • training_steps: 5000

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.59 100 14.0964 0.2980
No log 3.17 200 15.9598 0.3788
No log 4.76 300 14.9387 0.4091
No log 6.35 400 14.1750 0.4091
1.6819 7.94 500 16.7634 0.4091
1.6819 9.52 600 14.9062 0.4192
1.6819 11.11 700 13.9546 0.4091
1.6819 12.7 800 14.2041 0.4091
1.6819 14.29 900 15.2506 0.4040
0.2306 15.87 1000 14.9041 0.4091
0.2306 17.46 1100 14.9118 0.4141

Framework versions

  • Transformers 4.34.0.dev0
  • Pytorch 2.0.1+cu117
  • Datasets 2.14.5
  • Tokenizers 0.14.0
Downloads last month
0
Inference API
Inference API (serverless) does not yet support transformers models for this pipeline type.