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finetuned_T5_amzn_v2

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metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
  - generated_from_trainer
model-index:
  - name: finetuned_T5_amzn_v2
    results: []

finetuned_T5_amzn_v2

This model is a fine-tuned version of google-t5/t5-small on an the Amazon Fine Food Reviews dataset. It achieves the following results on the evaluation set:

  • Loss: 2.879612684249878
  • Rouge1: 0.6625
  • Rouge2: 0.4053
  • Rougel: 0.1755
  • Rougelsum: 0.1755
  • Gen Len: 5.3418
  • Bleu: 0.0178
  • Bert Precision: 0.8657
  • Bert Recall: 0.8505
  • Bert F1: 0.8575

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: 8
  • eval_batch_size: 8
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 16
  • 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

Framework versions

  • Transformers 4.41.0
  • Pytorch 2.1.2+cu121
  • Datasets 2.16.1
  • Tokenizers 0.19.1