---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- flores
metrics:
- bleu
model-index:
- name: meta-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: dev
      args: zho_Hans-eng_Latn
    metrics:
    - name: Bleu
      type: bleu
      value: 0.4467
---

<!-- 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-translation-chinese-english-model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the flores dataset.
It achieves the following results on the evaluation set:
- Loss: 3.8438
- Bleu: 0.4467
- Gen Len: 18.815
- 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Bleu   | Gen Len | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:-----------:|
| No log        | 1.0   | 50   | 3.9743          | 0.1872 | 15.755  | 0.0         |
| No log        | 2.0   | 100  | 3.9226          | 0.196  | 17.525  | 0.0         |
| No log        | 3.0   | 150  | 3.8931          | 0.3008 | 18.075  | 0.0         |
| No log        | 4.0   | 200  | 3.8743          | 0.4408 | 18.83   | 0.0         |
| No log        | 5.0   | 250  | 3.8628          | 0.3987 | 18.83   | 0.0         |
| No log        | 6.0   | 300  | 3.8546          | 0.4146 | 18.905  | 0.0         |
| No log        | 7.0   | 350  | 3.8498          | 0.4069 | 18.87   | 0.0         |
| No log        | 8.0   | 400  | 3.8464          | 0.4022 | 18.85   | 0.0         |
| No log        | 9.0   | 450  | 3.8445          | 0.4432 | 18.815  | 0.0         |
| 4.0794        | 10.0  | 500  | 3.8438          | 0.4467 | 18.815  | 0.0         |


### Framework versions

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