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# amharic_text_summarization

This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8555
- eval_rouge1: 18.0073
- eval_rouge2: 10.0967
- eval_rougeL: 17.7031
- eval_rougeLsum: 17.704
- eval_runtime: 364.1187
- eval_samples_per_second: 14.207
- eval_steps_per_second: 1.777
- epoch: 8.0
- step: 20736

## 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

{"license": "apache-2.0", "tags": ["summarization", "generated_from_trainer"], "base_model": "google/mt5-small", "model-index": [{"name": "amharic_text_summarization", "results": []}]}
transformers tensorboard safetensors mt5 text2text-generation summarization generated_from_trainer base_model:google/mt5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us