transformers pytorch t5 text2text-generation generated_from_trainer base_model:ai-forever/ruT5-base autotrain_compatible endpoints_compatible text-generation-inference region:us
---
base_model: ai-forever/ruT5-base
tags:
- generated_from_trainer
model-index:
- name: qa-to-fact
  results: []
---

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# qa-to-fact

This model is a fine-tuned version of [ai-forever/ruT5-base](https://huggingface.co/ai-forever/ruT5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.1446

## 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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.9154        | 0.24  | 120  | 2.9647          |
| 3.7476        | 0.48  | 240  | 2.6029          |
| 2.3029        | 0.72  | 360  | 2.4172          |
| 1.6739        | 0.96  | 480  | 2.2824          |
| 1.3045        | 1.2   | 600  | 2.3350          |
| 2.0404        | 1.43  | 720  | 2.2483          |
| 1.8331        | 1.67  | 840  | 2.3469          |
| 1.2038        | 1.91  | 960  | 2.3409          |
| 2.3061        | 2.15  | 1080 | 2.2659          |
| 1.9986        | 2.39  | 1200 | 2.1488          |
| 2.0164        | 2.63  | 1320 | 2.4446          |
| 1.9707        | 2.87  | 1440 | 2.1446          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.1.2
- Datasets 2.16.1
- Tokenizers 0.14.1
