---
license: mit
base_model: Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned
tags:
- generated_from_trainer
model-index:
- name: mscocoownt5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# mscocoownt5

This model is a fine-tuned version of [Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned](https://huggingface.co/Turkish-NLP/t5-efficient-small-MLSUM-TR-fine-tuned) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2632

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3441        | 1.0   | 1600 | 0.2844          |
| 0.3189        | 2.0   | 3200 | 0.2695          |
| 0.3028        | 3.0   | 4800 | 0.2647          |
| 0.3076        | 4.0   | 6400 | 0.2632          |


### Framework versions

- Transformers 4.42.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1