Edit model card

bloom-560m-pre-train-v1-qa-v1

This model is a fine-tuned version of sai1881/bloom-560m-pre-train-v1 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0963

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3.0

Training results

Training Loss Epoch Step Validation Loss
0.173 1.0 1219 0.1323
0.0948 2.0 2438 0.1039
0.0635 3.0 3657 0.0963

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
Downloads last month
1