summary_cz_eurlex / README.md
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metadata
license: apache-2.0
base_model: t5-small
tags:
  - generated_from_trainer
datasets:
  - eur-lex-sum
metrics:
  - rouge
model-index:
  - name: summary_cz_eurlex
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: eur-lex-sum
          type: eur-lex-sum
          config: czech
          split: test
          args: czech
        metrics:
          - name: Rouge1
            type: rouge
            value: 0.0181

summary_cz_eurlex

This model is a fine-tuned version of t5-small on the eur-lex-sum dataset. It achieves the following results on the evaluation set:

  • Loss: 2.8559
  • Rouge1: 0.0181
  • Rouge2: 0.0155
  • Rougel: 0.0181
  • Rougelsum: 0.0181
  • Gen Len: 19.0

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

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
No log 1.0 8 6.7050 0.0181 0.0155 0.0181 0.0181 19.0
No log 2.0 16 3.3004 0.0181 0.0155 0.0181 0.0181 19.0
No log 3.0 24 2.9529 0.0181 0.0155 0.0181 0.0181 19.0
No log 4.0 32 2.8559 0.0181 0.0155 0.0181 0.0181 19.0

Framework versions

  • Transformers 4.35.0.dev0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.5
  • Tokenizers 0.14.1