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mymodel_LORA_base_10k_2e5_3epoch_batch16_T4

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metadata
license: mit
base_model: VietAI/vit5-base
tags:
  - generated_from_trainer
metrics:
  - rouge
model-index:
  - name: mymodel_LORA_base_10k_2e5_3epoch_batch16_T4
    results: []

mymodel_LORA_base_10k_2e5_3epoch_batch16_T4

This model is a fine-tuned version of VietAI/vit5-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.9509
  • Rouge1: 0.5087
  • Rouge2: 0.21
  • Rougel: 0.3279
  • Rougelsum: 0.3278
  • Gen Len: 47.1885

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: 16
  • eval_batch_size: 16
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss Rouge1 Rouge2 Rougel Rougelsum Gen Len
2.904 1.0 500 2.0384 0.4986 0.1981 0.323 0.3231 54.0445
2.167 2.0 1000 1.9662 0.5068 0.2053 0.3269 0.3268 54.8295
2.1217 3.0 1500 1.9509 0.5087 0.21 0.3279 0.3278 47.1885

Framework versions

  • Transformers 4.34.0
  • Pytorch 2.1.0+cu118
  • Datasets 2.14.7
  • Tokenizers 0.14.1