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---
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
|