README.md

metadata

language:
  - myv
license: apache-2.0
tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - myv
  - robust-speech-event
  - model_for_talk
datasets:
  - mozilla-foundation/common_voice_8_0
model-index:
  - name: wav2vec2-xls-r-myv-a1
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 8
          type: mozilla-foundation/common_voice_8_0
          args: myv
        metrics:
          - name: Test WER
            type: wer
            value: []
          - name: Test CER
            type: cer
            value: []

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - MYV dataset. It achieves the following results on the evaluation set:

• Loss: 1.0356
• Wer: 0.6524

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: 0.0004
• train_batch_size: 16
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 800
• num_epochs: 200.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.649	9.62	500	3.0038	1.0
1.6272	19.23	1000	0.7362	0.7819
1.1354	28.85	1500	0.6410	0.7111
1.0424	38.46	2000	0.6907	0.7431
0.9293	48.08	2500	0.7249	0.7102
0.8246	57.69	3000	0.7422	0.6966
0.7837	67.31	3500	0.7413	0.6813
0.7147	76.92	4000	0.7873	0.6930
0.6276	86.54	4500	0.8038	0.6677
0.6041	96.15	5000	0.8240	0.6831
0.5336	105.77	5500	0.8748	0.6749
0.4705	115.38	6000	0.9006	0.6497
0.43	125.0	6500	0.8954	0.6551
0.3859	134.62	7000	0.9074	0.6614
0.3342	144.23	7500	0.9693	0.6560
0.3155	153.85	8000	1.0073	0.6691
0.2673	163.46	8500	1.0170	0.6632
0.2409	173.08	9000	1.0304	0.6709
0.2189	182.69	9500	0.9965	0.6546
0.1973	192.31	10000	1.0360	0.6551

Framework versions

• Transformers 4.17.0.dev0
• Pytorch 1.10.2+cu102
• Datasets 1.18.2.dev0
• Tokenizers 0.11.0

Evaluation Script

!python eval.py
--model_id DrishtiSharma/wav2vec2-large-xls-r-300m-myv-v1
--dataset mozilla-foundation/common_voice_8_0 --config myv --split test --log_outputs