roberta-vmw-mrqa-s / README.md
enriquesaou's picture
End of training
5332e1f verified
metadata
license: apache-2.0
base_model: VMware/roberta-base-mrqa
tags:
  - generated_from_trainer
model-index:
  - name: roberta-vmw-mrqa-s
    results: []

Visualize in Weights & Biases

roberta-vmw-mrqa-s

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

  • Loss: 1.2333

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: 1e-05
  • train_batch_size: 20
  • eval_batch_size: 20
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.03
  • training_steps: 500

Training results

Training Loss Epoch Step Validation Loss
1.149 0.0357 50 1.2558
1.1432 0.0715 100 1.2662
1.1559 0.1072 150 1.2555
1.2238 0.1430 200 1.2339
1.1742 0.1787 250 1.2422
1.169 0.2144 300 1.2393
1.1487 0.2502 350 1.2296
1.163 0.2859 400 1.2310
1.1779 0.3217 450 1.2311
1.1303 0.3574 500 1.2333

Framework versions

  • Transformers 4.42.0.dev0
  • Pytorch 2.3.0+cu121
  • Datasets 2.19.2
  • Tokenizers 0.19.1