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mustashot/my_awesome_sixth_model
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metadata
license: mit
base_model: facebook/bart-large-cnn
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: my_awesome_sixth_model
    results: []

my_awesome_sixth_model

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.8857
  • Rouge1: 0.308
  • Rouge2: 0.1151
  • Rougel: 0.2066
  • Rougelsum: 0.2065
  • Gen Len: 79.1051

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: 2e-05
  • train_batch_size: 5
  • eval_batch_size: 5
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 10
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 171 1.9174 0.3094 0.1207 0.2099 0.2101 75.6192
No log 2.0 343 1.8893 0.3036 0.1127 0.2046 0.2041 79.1308
1.8737 2.99 513 1.8857 0.308 0.1151 0.2066 0.2065 79.1051

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2