README.md · AndrewMcDowell/wav2vec2-xls-r-1B-german at 1ec0a43a6b058a4c6782dab66ae689218159ca99

metadata

language:
  - de
license: apache-2.0
tags:
  - automatic-speech-recognition
  - mozilla-foundation/common_voice_8_0
  - generated_from_trainer
  - robust-speech-event
  - de
  - hf-asr-leaderboard
datasets:
  - mozilla-foundation/common_voice_8_0
model-index:
  - name: XLS-R-300M - German
    results:
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Common Voice 8
          type: mozilla-foundation/common_voice_8_0
          args: de
        metrics:
          - name: Test WER
            type: wer
            value: 15.25
          - name: Test CER
            type: cer
            value: 3.78
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Robust Speech Event - Dev Data
          type: speech-recognition-community-v2/dev_data
          args: de
        metrics:
          - name: Test WER
            type: wer
            value: 35.29
          - name: Test CER
            type: cer
            value: 13.83
      - task:
          name: Automatic Speech Recognition
          type: automatic-speech-recognition
        dataset:
          name: Robust Speech Event - Test Data
          type: speech-recognition-community-v2/eval_data
          args: de
        metrics:
          - name: Test WER
            type: wer
            value: 36.2

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - DE dataset. It achieves the following results on the evaluation set:

Loss: 0.1355
Wer: 0.1532

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: 7.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 2.5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.0826	0.07	1000	0.4637	0.4654
1.118	0.15	2000	0.2595	0.2687
1.1268	0.22	3000	0.2635	0.2661
1.0919	0.29	4000	0.2417	0.2566
1.1013	0.37	5000	0.2414	0.2567
1.0898	0.44	6000	0.2546	0.2731
1.0808	0.51	7000	0.2399	0.2535
1.0719	0.59	8000	0.2353	0.2528
1.0446	0.66	9000	0.2427	0.2545
1.0347	0.73	10000	0.2266	0.2402
1.0457	0.81	11000	0.2290	0.2448
1.0124	0.88	12000	0.2295	0.2448
1.025	0.95	13000	0.2138	0.2345
1.0107	1.03	14000	0.2108	0.2294
0.9758	1.1	15000	0.2019	0.2204
0.9547	1.17	16000	0.2000	0.2178
0.986	1.25	17000	0.2018	0.2200
0.9588	1.32	18000	0.1992	0.2138
0.9413	1.39	19000	0.1898	0.2049
0.9339	1.47	20000	0.1874	0.2056
0.9268	1.54	21000	0.1797	0.1976
0.9194	1.61	22000	0.1743	0.1905
0.8987	1.69	23000	0.1738	0.1932
0.8884	1.76	24000	0.1703	0.1873
0.8939	1.83	25000	0.1633	0.1831
0.8629	1.91	26000	0.1549	0.1750
0.8607	1.98	27000	0.1550	0.1738
0.8316	2.05	28000	0.1512	0.1709
0.8321	2.13	29000	0.1481	0.1657
0.825	2.2	30000	0.1446	0.1627
0.8115	2.27	31000	0.1396	0.1583
0.7959	2.35	32000	0.1389	0.1569
0.7835	2.42	33000	0.1362	0.1545
0.7959	2.49	34000	0.1355	0.1531

Framework versions

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

Evaluation Commands

To evaluate on mozilla-foundation/common_voice_8_0 with split test

python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-1B-german --dataset mozilla-foundation/common_voice_8_0 --config de --split test --log_outputs

To evaluate on test dev data

python ./eval.py --model_id AndrewMcDowell/wav2vec2-xls-r-1B-german --dataset speech-recognition-community-v2/dev_data --config de --split validation --chunk_length_s 5.0 --stride_length_s 1.0