---
license: mit
tags:
- generated_from_trainer
datasets:
- dataset
metrics:
- bleu
model-index:
- name: m2m100_418M-test
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: dataset
      type: dataset
      config: uptycs
      split: train
      args: uptycs
    metrics:
    - name: Bleu
      type: bleu
      value: 29.9962
---

<!-- 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. -->

# m2m100_418M-test

This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9953
- Bleu: 29.9962
- Gen Len: 41.6441

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
| 0.3804        | 1.0   | 1267 | 0.9953          | 29.9962 | 41.6441 |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.1+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2