---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: T5_Ru_VKR
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# T5_Ru_VKR

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8474
- Rouge1: 0.0229
- Rouge2: 0.0135
- Rougel: 0.0228
- Rougelsum: 0.0227
- Gen Len: 18.845

## 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: 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: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 1.9287          | 0.0246 | 0.0135 | 0.0245 | 0.0242    | 18.865  |
| No log        | 2.0   | 200  | 1.8761          | 0.0213 | 0.0135 | 0.0212 | 0.021     | 18.845  |
| No log        | 3.0   | 300  | 1.8454          | 0.0213 | 0.0135 | 0.0212 | 0.021     | 18.845  |
| No log        | 4.0   | 400  | 1.8474          | 0.0229 | 0.0135 | 0.0228 | 0.0227    | 18.845  |


### Framework versions

- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.19.1