update model card README.md

README.md

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+---
+language:
+- ja
+license: apache-2.0
+tags:
+- automatic-speech-recognition
+- vumichien/common_voice_large_jsut_jsss_css10
+- generated_from_trainer
+model-index:
+- name: wav2vec2-xls-r-1b-ja-dumy8
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# wav2vec2-xls-r-1b-ja-dumy8
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the VUMICHIEN/COMMON_VOICE_LARGE_JSUT_JSSS_CSS10 - JA dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2104
+- Wer: 0.1941
+- Cer: 0.0991
+
+## 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: 5e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1000
+- num_epochs: 100.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 2.2896        | 3.37  | 1500  | 0.4748          | 0.4013 | 0.1767 |
+| 1.1608        | 6.74  | 3000  | 0.3350          | 0.3159 | 0.1456 |
+| 1.1042        | 10.11 | 4500  | 0.3119          | 0.2971 | 0.1400 |
+| 1.0494        | 13.48 | 6000  | 0.2974          | 0.2867 | 0.1353 |
+| 1.0061        | 16.85 | 7500  | 0.2802          | 0.2746 | 0.1300 |
+| 0.9629        | 20.22 | 9000  | 0.2844          | 0.2776 | 0.1326 |
+| 0.9267        | 23.59 | 10500 | 0.2577          | 0.2603 | 0.1255 |
+| 0.8984        | 26.96 | 12000 | 0.2508          | 0.2531 | 0.1226 |
+| 0.8729        | 30.34 | 13500 | 0.2629          | 0.2606 | 0.1254 |
+| 0.8546        | 33.71 | 15000 | 0.2402          | 0.2447 | 0.1193 |
+| 0.8304        | 37.08 | 16500 | 0.2532          | 0.2472 | 0.1209 |
+| 0.8075        | 40.45 | 18000 | 0.2439          | 0.2469 | 0.1198 |
+| 0.7827        | 43.82 | 19500 | 0.2387          | 0.2372 | 0.1167 |
+| 0.7627        | 47.19 | 21000 | 0.2344          | 0.2331 | 0.1147 |
+| 0.7402        | 50.56 | 22500 | 0.2314          | 0.2299 | 0.1135 |
+| 0.718         | 53.93 | 24000 | 0.2257          | 0.2267 | 0.1114 |
+| 0.7016        | 57.3  | 25500 | 0.2204          | 0.2184 | 0.1089 |
+| 0.6804        | 60.67 | 27000 | 0.2227          | 0.2181 | 0.1085 |
+| 0.6625        | 64.04 | 28500 | 0.2138          | 0.2112 | 0.1058 |
+| 0.6465        | 67.42 | 30000 | 0.2141          | 0.2081 | 0.1044 |
+| 0.6238        | 70.79 | 31500 | 0.2172          | 0.2082 | 0.1050 |
+| 0.6062        | 74.16 | 33000 | 0.2174          | 0.2058 | 0.1043 |
+| 0.588         | 77.53 | 34500 | 0.2156          | 0.2034 | 0.1027 |
+| 0.5722        | 80.9  | 36000 | 0.2162          | 0.2032 | 0.1029 |
+| 0.5585        | 84.27 | 37500 | 0.2156          | 0.2022 | 0.1021 |
+| 0.5456        | 87.64 | 39000 | 0.2126          | 0.1993 | 0.1009 |
+| 0.5325        | 91.01 | 40500 | 0.2121          | 0.1966 | 0.1003 |
+| 0.5229        | 94.38 | 42000 | 0.2104          | 0.1941 | 0.0991 |
+| 0.5134        | 97.75 | 43500 | 0.2108          | 0.1948 | 0.0992 |
+
+
+### Framework versions
+
+- Transformers 4.16.0.dev0
+- Pytorch 1.10.1+cu102
+- Datasets 1.17.1.dev0
+- Tokenizers 0.11.0