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metadata
license: apache-2.0
base_model: google/mt5-small
tags:
  - summarization
  - generated_from_trainer
model-index:
  - name: mt5-small-amharic-text-summaization
    results: []

mt5-small-amharic-text-summaization

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

  • eval_loss: 1.9166
  • eval_rouge1: 17.2202
  • eval_rouge2: 9.6515
  • eval_rougeL: 16.8757
  • eval_rougeLsum: 16.8802
  • eval_runtime: 189.6659
  • eval_samples_per_second: 14.178
  • eval_steps_per_second: 1.777
  • epoch: 10.0
  • step: 13450

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: 5.6e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 12

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0