---
license: apache-2.0
base_model: gsarti/opus-mt-tc-en-pl
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: opus-en-pl-finetuning-opus
  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. -->

# opus-en-pl-finetuning-opus

This model is a fine-tuned version of [gsarti/opus-mt-tc-en-pl](https://huggingface.co/gsarti/opus-mt-tc-en-pl) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 7.2294
- Bleu: 0.0036
- Gen Len: 454.3333

## 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: 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len  |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| No log        | 1.0   | 142  | 7.4991          | 0.0088 | 401.7407 |
| No log        | 2.0   | 284  | 7.2294          | 0.0036 | 454.3333 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2