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
  - bleu
model-index:
  - name: wav2vec2-mms-1b-CV17.0-training_set_variations
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: common_voice_17_0
          type: common_voice_17_0
          config: ta
          split: validation
          args: ta
        metrics:
          - name: Wer
            type: wer
            value: 0.38488334784800843
          - name: Bleu
            type: bleu
            value: 0.3848277074951031

wav2vec2-mms-1b-CV17.0-training_set_variations

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: 0.2335
Wer: 0.3849
Cer: 0.0627
Bleu: 0.3848

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.15
training_steps: 2000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer	Bleu
12.5537	1.5625	50	3.9513	1.0006	0.9854	0.0
2.2034	3.125	100	0.3019	0.4137	0.0683	0.3510
0.226	4.6875	150	0.2305	0.3794	0.0623	0.3981
0.1904	6.25	200	0.2262	0.3776	0.0618	0.3988
0.1798	7.8125	250	0.2275	0.3760	0.0621	0.4040
0.1724	9.375	300	0.2399	0.4021	0.0659	0.3610
0.1791	10.9375	350	0.2310	0.3883	0.0635	0.3797
0.1678	12.5	400	0.2405	0.3961	0.0666	0.3722
0.1527	14.0625	450	0.2335	0.3849	0.0627	0.3848

Framework versions

Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1