Language / README.md
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metadata
license: mit
base_model: microsoft/deberta-v3-small
tags:
  - generated_from_trainer
model-index:
  - name: outputs
    results: []

outputs

This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.0097
  • Pearson: 0.9873

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: 8e-05
  • train_batch_size: 64
  • eval_batch_size: 128
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 4

Training results

Training Loss Epoch Step Validation Loss Pearson
No log 1.0 30 0.0437 0.9388
No log 2.0 60 0.0098 0.9781
No log 3.0 90 0.0157 0.9862
No log 4.0 120 0.0097 0.9873

Framework versions

  • Transformers 4.33.0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3