transformers safetensors mt5 text2text-generation generated_from_trainer base_model:cointegrated/rut5-small license:mit autotrain_compatible endpoints_compatible region:us
---
license: mit
base_model: cointegrated/rut5-small
tags:
- generated_from_trainer
model-index:
- name: finetune_t5_small_last
  results: []
---

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# finetune_t5_small_last

This model is a fine-tuned version of [cointegrated/rut5-small](https://huggingface.co/cointegrated/rut5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7367

## 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: 0.0004
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 12
- total_train_batch_size: 144
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.8842        | 0.54  | 150  | 2.1580          |
| 2.692         | 1.08  | 300  | 2.0038          |
| 2.6062        | 1.62  | 450  | 1.9259          |
| 2.5237        | 2.16  | 600  | 1.8800          |
| 2.4775        | 2.7   | 750  | 1.8504          |
| 2.4355        | 3.24  | 900  | 1.8220          |
| 2.4075        | 3.78  | 1050 | 1.8016          |
| 2.3813        | 4.33  | 1200 | 1.7818          |
| 2.3555        | 4.87  | 1350 | 1.7742          |
| 2.3521        | 5.41  | 1500 | 1.7602          |
| 2.3295        | 5.95  | 1650 | 1.7517          |
| 2.3185        | 6.49  | 1800 | 1.7444          |
| 2.2994        | 7.03  | 1950 | 1.7416          |
| 2.3105        | 7.57  | 2100 | 1.7367          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
