---
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- flores
metrics:
- bleu
model-index:
- name: meta-flores-translation-chinese-english-model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: flores
      type: flores
      config: zho_Hans-eng_Latn
      split: devtest
      args: zho_Hans-eng_Latn
    metrics:
    - name: Bleu
      type: bleu
      value: 0.0
---

<!-- 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. -->

# meta-flores-translation-chinese-english-model

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the flores dataset.
It achieves the following results on the evaluation set:
- Loss: 3.9323
- Bleu: 0.0
- Gen Len: 6.5
- Exact Match: 0.0

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:----:|:-------:|:-----------:|
| No log        | 1.0   | 4    | 3.9323          | 0.0  | 6.5     | 0.0         |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1