rohit_sroch
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metadata
tags:
  - generated_from_trainer
model_index:
  - name: hybrid_hbh_t5-small_ami_sum
    results:
      - task:
          name: Summarization
          type: summarization

hybrid_hbh_t5-small_ami_sum

This model is a fine-tuned version of best-models/HBH/t5-small on an unkown 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: 0.0005
  • train_batch_size: 4
  • eval_batch_size: 4
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.1
  • num_epochs: 150.0
  • label_smoothing_factor: 0.1

Framework versions

  • Transformers 4.8.0
  • Pytorch 1.6.0
  • Datasets 1.10.2
  • Tokenizers 0.10.3