---
license: cc-by-nc-4.0
base_model:
- facebook/nllb-200-distilled-600M
language:
- ami
- trv
- bnn
- pwn
- tay
- tsu
- tao
- dru
- xsy
- pyu
- szy
- ckv
- sxr
- ssf
- xnb
pipeline_tag: translation
datasets:
- ithuan/klokah_asr_train
- ithuan/fb_ilrdf_dict_asr
- ithuan/formosan_db
metrics:
- sacrebleu
model-index:
  - name: nllb-600m-formosan-all-finetune
    results:
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: ithuan/ithuan_formosan_text
          type: ithuan/ithuan_formosan_text
          config: Amis_Xiuguluan
          split: train
        metrics:
          - name:  ami_Xiug -> zho_Hant (zh)
            type: sacrebleu
            value: 9.57
          - name:  zho_Hant -> ami_Xiug (13a)
            type: sacrebleu
            value: 6.56
      - task:
          name: Sequence-to-sequence Language Modeling
          type: text2text-generation
        dataset:
          name: ithuan/klokah_asr_eval
          type: ithuan/klokah_asr_eval
          config: Amis_Xiuguluan
          split: train
        metrics:
          - name:  ami_Xiug -> zho_Hant (zh)
            type: sacrebleu
            value: 5.36
          - name:  zho_Hant -> ami_Xiug (13a)
            type: sacrebleu
            value: 6.71
---

# Model Card for nllb-600m-formosan-all-finetune


## Model Details
nllb-200-distilled-600M finetune on all formosan data (klokah, fb ilrdf dict, formosan_db) **without samples only one word**.

## Training Details
- learning rate: 0.0001
- batch size per gpu: 4
- grad accumulation steps: 1
- epochs: 12
- warmup ratio: 0.1

## Uses
please refer [https://huggingface.co/docs/transformers/model_doc/nllb](https://huggingface.co/docs/transformers/model_doc/nllb)

## Demo
[https://huggingface.co/spaces/ithuan/formosan-translation](https://huggingface.co/spaces/ithuan/formosan-translation)