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metadata
license: apache-2.0
tags:
  - generated_from_trainer
model-index:
  - name: led-finetuned-meetings
    results: []

led-finetuned-meetings

This model is a fine-tuned version of allenai/led-base-16384 on the knkarthick/AMI dataset. It achieves the following results on the evaluation set:

  • Loss: 2.2191
  • Rouge2 Precision: 0.141
  • Rouge2 Recall: 0.1886
  • Rouge2 Fmeasure: 0.1541

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 2
  • seed: 42
  • gradient_accumulation_steps: 4
  • total_train_batch_size: 8
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 1
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge2 Precision Rouge2 Recall Rouge2 Fmeasure
1.964 0.63 20 2.2191 0.141 0.1886 0.1541

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.11.0
  • Tokenizers 0.13.3