metadata

library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
  - generated_from_trainer
datasets:
  - common_voice_17_0
metrics:
  - wer
model-index:
  - name: wav2vec2-large-mms-1b-kyrgyz-colab
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_17_0
          type: common_voice_17_0
          config: ky
          split: test
          args: ky
        metrics:
          - name: Wer
            type: wer
            value: 0.23120079630802642

wav2vec2-large-mms-1b-kyrgyz-colab

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:

Loss: 0.2384
Wer: 0.2312

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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
4.9324	0.2347	100	0.3080	0.2811
0.4397	0.4695	200	0.2887	0.2666
0.4336	0.7042	300	0.2816	0.2581
0.4064	0.9390	400	0.2602	0.2518
0.3604	1.1737	500	0.2447	0.2433
0.3752	1.4085	600	0.2603	0.2457
0.3801	1.6432	700	0.2531	0.2433
0.4021	1.8779	800	0.2418	0.2441
0.3807	2.1127	900	0.2625	0.2431
0.3764	2.3474	1000	0.2421	0.2410
0.3669	2.5822	1100	0.2423	0.2422
0.3529	2.8169	1200	0.2447	0.2337
0.3432	3.0516	1300	0.2351	0.2345
0.3535	3.2864	1400	0.2469	0.2331
0.3481	3.5211	1500	0.2353	0.2355
0.3301	3.7559	1600	0.2414	0.2309
0.3696	3.9906	1700	0.2384	0.2312

Framework versions

Transformers 4.49.0.dev0
Pytorch 2.5.1+cu121
Datasets 3.2.0
Tokenizers 0.21.0