---
library_name: transformers
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: cspl_translation
  results: []
datasets:
- qanastek/EMEA-V3
---

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

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on qanastek/EMEA-V3, "cs-pl".
It achieves the following results on the evaluation set:
- Loss: 0.5057
- Bleu: 6.0589
- Gen Len: 17.9412

## Model description

Fine-tuned model for Czech to Polish translation

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 0.6935        | 1.0   | 20158 | 0.6522          | 5.4056 | 18.0813 |
| 0.5478        | 2.0   | 40316 | 0.5442          | 5.7921 | 18.0018 |
| 0.4513        | 3.0   | 60474 | 0.5057          | 6.0589 | 17.9412 |


### Framework versions

- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3