---
license: cc-by-4.0
base_model: Helsinki-NLP/opus-mt-tc-big-hu-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: output
  results: []
datasets:
- matekadlicsko/hungarian-news-translations
language:
- hu
- en
pipeline_tag: translation
---

<!-- 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. -->

# opus-mt-tc-big-hu-en-finetuned-news

This model is a fine-tuned version of [Helsinki-NLP/opus-mt-tc-big-hu-en](https://huggingface.co/Helsinki-NLP/opus-mt-tc-big-hu-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1956
- Bleu: 39.6514
- Gen Len: 51.7972

## 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: 5e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| No log        | 0.23  | 150  | 1.2390          | 37.7285 | 51.2344 |
| No log        | 0.46  | 300  | 1.2198          | 38.0141 | 50.9959 |
| No log        | 0.7   | 450  | 1.1969          | 38.4344 | 51.464  |
| 1.2949        | 0.93  | 600  | 1.1898          | 38.6658 | 51.379  |
| 1.2949        | 1.16  | 750  | 1.1968          | 38.646  | 51.34   |
| 1.2949        | 1.39  | 900  | 1.1948          | 38.9869 | 51.7807 |
| 1.0345        | 1.62  | 1050 | 1.1866          | 39.1708 | 51.7604 |
| 1.0345        | 1.85  | 1200 | 1.1792          | 39.4682 | 51.661  |
| 1.0345        | 2.09  | 1350 | 1.1974          | 39.5432 | 51.882  |
| 0.8679        | 2.32  | 1500 | 1.1971          | 39.5958 | 51.7895 |
| 0.8679        | 2.55  | 1650 | 1.1980          | 39.5926 | 52.0244 |
| 0.8679        | 2.78  | 1800 | 1.1961          | 39.6369 | 51.8143 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0