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lr_2e-05_batch_2_epoch_1_model

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metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-small
tags:
  - generated_from_trainer
model-index:
  - name: lr_2e-05_batch_2_epoch_1_model
    results: []

lr_2e-05_batch_2_epoch_1_model

This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 3.8351
  • Rouge-1: 18.9876
  • Rouge-2: 6.603
  • Rouge-l: 17.5389
  • Gen Len: 13.2028

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: 4
  • eval_batch_size: 4
  • seed: 42
  • 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 Rouge-1 Rouge-2 Rouge-l Gen Len
4.6917 1.0 5428 3.8351 18.9876 6.603 17.5389 13.2028

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.1.0
  • Datasets 2.21.0
  • Tokenizers 0.19.1