transformers tensorboard safetensors t5 text2text-generation summarization_1 generated_from_trainer base_model:IlyaGusev/rut5_base_sum_gazeta base_model:finetune:IlyaGusev/rut5_base_sum_gazeta license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: IlyaGusev/rut5_base_sum_gazeta
license: apache-2.0
tags:
- summarization_1
- generated_from_trainer
model-index:
- name: rut5_base_sum_gazeta-finetuned_lith
  results: []
---

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# rut5_base_sum_gazeta-finetuned_lith

This model is a fine-tuned version of [IlyaGusev/rut5_base_sum_gazeta](https://huggingface.co/IlyaGusev/rut5_base_sum_gazeta) on the None dataset.
It achieves the following results on the evaluation set:
- eval_loss: 2.4308
- eval_rouge1: 0.0
- eval_rouge2: 0.0
- eval_rougeL: 0.0
- eval_rougeLsum: 0.0
- eval_runtime: 8.0503
- eval_samples_per_second: 0.87
- eval_steps_per_second: 0.124
- step: 0

## 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: 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: 8

### Framework versions

- Transformers 4.36.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0
