metadata

license: cc-by-nc-4.0
base_model: facebook/mms-1b-l1107
tags:
  - generated_from_trainer
datasets:
  - common_voice_13_0
metrics:
  - wer
model-index:
  - name: wav2vec2-large-mms-1b-korean-colab
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_13_0
          type: common_voice_13_0
          config: ko
          split: test
          args: ko
        metrics:
          - name: Wer
            type: wer
            value: 0.9929506545820745

wav2vec2-large-mms-1b-korean-colab

This model is a fine-tuned version of facebook/mms-1b-l1107 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

Loss: 7.8135
Wer: 0.9930

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: 0.001
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
lr_scheduler_warmup_steps: 100
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
10.9747	2.63	100	7.8812	0.9990
5.9431	5.26	200	8.2212	0.9960
5.7372	7.89	300	8.1054	0.9930
5.2582	10.53	400	8.2347	0.9940
3.8725	13.16	500	7.7536	0.9940
3.4454	15.79	600	7.7220	0.9930
2.5989	18.42	700	7.8135	0.9930

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3