single-docalog / README.md
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metadata
tags:
  - generated_from_trainer
datasets:
  - doc2dial
model-index:
  - name: single-docalog
    results: []

single-docalog

This model is a fine-tuned version of alistvt/single-docalog on the doc2dial dataset.

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: 3e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 30
  • total_train_batch_size: 240
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_steps: 10
  • num_epochs: 1.0
  • mixed_precision_training: Native AMP

Training results

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3