metadata
license: apache-2.0
base_model: google/mt5-small
tags:
- generated_from_trainer
model-index:
- name: amharic_text_summarization
results: []
amharic_text_summarization
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: 1.8623
- eval_rouge1: 18.0038
- eval_rouge2: 10.1584
- eval_rougeL: 17.7176
- eval_rougeLsum: 17.7042
- eval_runtime: 363.1536
- eval_samples_per_second: 14.245
- eval_steps_per_second: 1.782
- epoch: 7.0
- step: 18151
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: 8
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0