update model card README.md

README.md

@@ -0,0 +1,102 @@
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- common_voice
+model-index:
+- name: ''
+  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. -->
+
+# 
+
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1801
+- Wer: 0.8621
+- Cer: 0.2969
+
+## 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: 100.0
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Wer    | Cer    |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|
+| 64.6189       | 2.51  | 500   | 63.8077         | 1.0    | 1.0    |
+| 8.0561        | 5.03  | 1000  | 6.8014          | 1.0    | 1.0    |
+| 6.0427        | 7.54  | 1500  | 6.0745          | 1.0    | 1.0    |
+| 5.9357        | 10.05 | 2000  | 5.8682          | 1.0    | 1.0    |
+| 5.0489        | 12.56 | 2500  | 4.4032          | 0.9990 | 0.7750 |
+| 4.6184        | 15.08 | 3000  | 3.8383          | 0.9983 | 0.6768 |
+| 4.365         | 17.59 | 3500  | 3.4633          | 0.9959 | 0.6299 |
+| 4.1026        | 20.1  | 4000  | 3.0732          | 0.9902 | 0.5814 |
+| 3.8655        | 22.61 | 4500  | 2.7638          | 0.9868 | 0.5465 |
+| 3.6991        | 25.13 | 5000  | 2.4759          | 0.9811 | 0.5088 |
+| 3.4894        | 27.64 | 5500  | 2.2937          | 0.9746 | 0.4852 |
+| 3.3983        | 30.15 | 6000  | 2.1684          | 0.9733 | 0.4674 |
+| 3.2736        | 32.66 | 6500  | 2.0372          | 0.9659 | 0.4458 |
+| 3.1884        | 35.18 | 7000  | 1.9267          | 0.9648 | 0.4329 |
+| 3.1248        | 37.69 | 7500  | 1.8408          | 0.9591 | 0.4217 |
+| 3.0381        | 40.2  | 8000  | 1.7531          | 0.9503 | 0.4074 |
+| 2.9515        | 42.71 | 8500  | 1.6880          | 0.9459 | 0.3967 |
+| 2.8704        | 45.23 | 9000  | 1.6264          | 0.9378 | 0.3884 |
+| 2.8128        | 47.74 | 9500  | 1.5621          | 0.9341 | 0.3782 |
+| 2.7386        | 50.25 | 10000 | 1.5011          | 0.9243 | 0.3664 |
+| 2.6646        | 52.76 | 10500 | 1.4608          | 0.9192 | 0.3575 |
+| 2.6072        | 55.28 | 11000 | 1.4251          | 0.9148 | 0.3501 |
+| 2.569         | 57.79 | 11500 | 1.3837          | 0.9060 | 0.3462 |
+| 2.5091        | 60.3  | 12000 | 1.3589          | 0.9070 | 0.3392 |
+| 2.4588        | 62.81 | 12500 | 1.3261          | 0.8966 | 0.3284 |
+| 2.4083        | 65.33 | 13000 | 1.3052          | 0.8982 | 0.3265 |
+| 2.3787        | 67.84 | 13500 | 1.2997          | 0.8908 | 0.3243 |
+| 2.3457        | 70.35 | 14000 | 1.2778          | 0.8898 | 0.3187 |
+| 2.3099        | 72.86 | 14500 | 1.2661          | 0.8830 | 0.3172 |
+| 2.2559        | 75.38 | 15000 | 1.2475          | 0.8851 | 0.3143 |
+| 2.2264        | 77.89 | 15500 | 1.2319          | 0.8739 | 0.3085 |
+| 2.196         | 80.4  | 16000 | 1.2218          | 0.8722 | 0.3049 |
+| 2.1613        | 82.91 | 16500 | 1.2093          | 0.8719 | 0.3051 |
+| 2.1455        | 85.43 | 17000 | 1.2055          | 0.8624 | 0.3005 |
+| 2.1193        | 87.94 | 17500 | 1.1975          | 0.8600 | 0.2982 |
+| 2.0911        | 90.45 | 18000 | 1.1960          | 0.8648 | 0.3003 |
+| 2.0884        | 92.96 | 18500 | 1.1871          | 0.8638 | 0.2971 |
+| 2.0766        | 95.48 | 19000 | 1.1814          | 0.8617 | 0.2967 |
+| 2.0735        | 97.99 | 19500 | 1.1801          | 0.8621 | 0.2969 |
+
+
+### Framework versions
+
+- Transformers 4.17.0.dev0
+- Pytorch 1.10.2+cu102
+- Datasets 1.18.2.dev0
+- Tokenizers 0.11.0

nohup.out

@@ -15688,3 +15688,22 @@ Saving model checkpoint to ./
 Configuration saved in ./config.json
 Model weights saved in ./pytorch_model.bin
 Configuration saved in ./preprocessor_config.json
+{'eval_loss': 1.180108904838562, 'eval_wer': 0.8620689655172413, 'eval_cer': 0.2968590450516685, 'eval_runtime': 123.9462, 'eval_samples_per_second': 23.865, 'eval_steps_per_second': 2.985, 'epoch': 97.99}
+{'loss': 2.0277, 'learning_rate': 1.3156424581005587e-06, 'epoch': 98.49}
+{'loss': 2.0545, 'learning_rate': 8.966480446927373e-07, 'epoch': 98.99}
+{'loss': 2.0502, 'learning_rate': 4.776536312849162e-07, 'epoch': 99.5}
+{'loss': 2.0333, 'learning_rate': 5.865921787709496e-08, 'epoch': 100.0}
+{'train_runtime': 36587.1788, 'train_samples_per_second': 17.438, 'train_steps_per_second': 0.544, 'train_loss': 5.91964619928868, 'epoch': 100.0}
+
+
+   b94fb3e..97bab54  main -> main
+
+02/06/2022 21:54:30 - WARNING - huggingface_hub.repository - To https://huggingface.co/StevenLimcorn/wav2vec2-xls-r-300m-zh-TW
+   b94fb3e..97bab54  main -> main
+
+
+
+
+
+Dropping the following result as it does not have all the necessary fields:
+{'dataset': {'name': 'common_voice', 'type': 'common_voice', 'args': 'zh-TW'}}