marinone94 commited on
Commit
3042312
1 Parent(s): feaf824

merge with 100 steps

Browse files
README.md CHANGED
@@ -10,8 +10,7 @@ tags:
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  - robust-speech-event
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  - model_for_talk
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  datasets:
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- - mozilla-foundation/common_voice_8_0
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- - marinone94/nst_sv
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  model-index:
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  - name: XLS-R-300M - Swedish
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  results:
@@ -47,13 +46,10 @@ model-index:
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  #
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- This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on 2 epochs of the MARINONE94/NST_SV - SV dataset (80% random split with seed 42 as the dataset for now has only the "train" split), and then on 50 epochs of the the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SV-SE dataset ("train+validation" split).
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- See run.sh to have a complete overview of all the training steps.
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- NOTE: the first training for now didn't work as expected, so it might be useless or even degrade performance. Further investigation and development is needed.
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-
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- It achieves the following results on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SV-SE "test" set, without any language model:
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- - Loss: 0.1497
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- - Wer: 0.1261
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  ## Model description
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@@ -80,59 +76,32 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 128
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 2000
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- - num_epochs: 50.0
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Wer |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 3.3533 | 1.1 | 100 | 3.2807 | 1.0 |
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- | 3.1709 | 2.2 | 200 | 3.1325 | 1.0 |
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- | 3.0573 | 3.3 | 300 | 3.0615 | 1.0 |
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- | 3.0314 | 4.39 | 400 | 3.0990 | 1.0 |
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- | 3.0129 | 5.49 | 500 | 3.0400 | 1.0 |
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- | 2.9964 | 6.59 | 600 | 2.9990 | 1.0 |
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- | 2.9602 | 7.69 | 700 | 2.9620 | 1.0 |
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- | 2.8756 | 8.79 | 800 | 2.7302 | 1.0 |
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- | 2.2931 | 9.89 | 900 | 1.5058 | 0.9776 |
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- | 1.8427 | 10.98 | 1000 | 0.9155 | 0.7832 |
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- | 1.4286 | 12.09 | 1100 | 0.4075 | 0.3796 |
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- | 1.2229 | 13.19 | 1200 | 0.2893 | 0.2652 |
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- | 1.1106 | 14.28 | 1300 | 0.2469 | 0.2254 |
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- | 1.0663 | 15.38 | 1400 | 0.2219 | 0.1973 |
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- | 1.0667 | 16.48 | 1500 | 0.2129 | 0.1894 |
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- | 1.0193 | 17.58 | 1600 | 0.1991 | 0.1789 |
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- | 0.9816 | 18.68 | 1700 | 0.1940 | 0.1801 |
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- | 0.9814 | 19.78 | 1800 | 0.1860 | 0.1667 |
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- | 0.9787 | 20.87 | 1900 | 0.1888 | 0.1642 |
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- | 0.9699 | 21.97 | 2000 | 0.1875 | 0.1704 |
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- | 0.9616 | 23.08 | 2100 | 0.1802 | 0.1617 |
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- | 0.9378 | 24.17 | 2200 | 0.1793 | 0.1577 |
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- | 0.888 | 25.27 | 2300 | 0.1764 | 0.1545 |
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- | 0.8942 | 26.37 | 2400 | 0.1674 | 0.1492 |
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- | 0.8701 | 27.47 | 2500 | 0.1739 | 0.1512 |
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- | 0.8555 | 28.57 | 2600 | 0.1690 | 0.1446 |
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- | 0.8513 | 29.67 | 2700 | 0.1649 | 0.1477 |
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- | 0.8659 | 30.77 | 2800 | 0.1637 | 0.1422 |
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- | 0.8419 | 31.86 | 2900 | 0.1614 | 0.1397 |
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- | 0.8491 | 32.96 | 3000 | 0.1595 | 0.1401 |
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- | 0.8395 | 34.07 | 3100 | 0.1607 | 0.1376 |
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- | 0.83 | 35.16 | 3200 | 0.1538 | 0.1379 |
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- | 0.7835 | 36.26 | 3300 | 0.1602 | 0.1408 |
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- | 0.7703 | 37.36 | 3400 | 0.1601 | 0.1369 |
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- | 0.7474 | 38.46 | 3500 | 0.1514 | 0.1342 |
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- | 0.7719 | 39.56 | 3600 | 0.1593 | 0.1353 |
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- | 0.7638 | 40.66 | 3700 | 0.1536 | 0.1338 |
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- | 0.771 | 41.75 | 3800 | 0.1531 | 0.1317 |
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- | 0.7594 | 42.85 | 3900 | 0.1498 | 0.1288 |
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- | 0.7383 | 43.95 | 4000 | 0.1527 | 0.1300 |
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- | 0.7565 | 45.05 | 4100 | 0.1482 | 0.1289 |
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- | 0.7697 | 46.15 | 4200 | 0.1495 | 0.1272 |
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- | 0.7194 | 47.25 | 4300 | 0.1493 | 0.1269 |
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- | 0.7479 | 48.35 | 4400 | 0.1490 | 0.1276 |
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- | 0.7132 | 49.45 | 4500 | 0.1501 | 0.1265 |
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137
 
138
  ### Framework versions
 
10
  - robust-speech-event
11
  - model_for_talk
12
  datasets:
13
+ - common_voice
 
14
  model-index:
15
  - name: XLS-R-300M - Swedish
16
  results:
 
46
 
47
  #
48
 
49
+ This model is a fine-tuned version of [KBLab/wav2vec2-large-voxrex](https://huggingface.co/KBLab/wav2vec2-large-voxrex) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SV-SE dataset.
50
+ It achieves the following results on the evaluation set:
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+ - Loss: 0.1595
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+ - Wer: 0.1200
 
 
 
53
 
54
  ## Model description
55
 
 
76
  - total_train_batch_size: 128
77
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
78
  - lr_scheduler_type: linear
79
+ - lr_scheduler_warmup_ratio: 0.25
80
+ - num_epochs: 100.0
81
  - mixed_precision_training: Native AMP
82
 
83
  ### Training results
84
 
85
  | Training Loss | Epoch | Step | Validation Loss | Wer |
86
  |:-------------:|:-----:|:----:|:---------------:|:------:|
87
+ | 3.0418 | 5.49 | 500 | 3.0176 | 1.0 |
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+ | 1.1819 | 10.98 | 1000 | 0.2562 | 0.2168 |
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+ | 1.0032 | 16.48 | 1500 | 0.1746 | 0.1546 |
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+ | 0.9077 | 21.97 | 2000 | 0.1600 | 0.1339 |
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+ | 0.8687 | 27.47 | 2500 | 0.1647 | 0.1378 |
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+ | 0.8081 | 32.96 | 3000 | 0.1608 | 0.1353 |
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+ | 0.7923 | 38.46 | 3500 | 0.1534 | 0.1277 |
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+ | 0.7349 | 43.95 | 4000 | 0.1546 | 0.1303 |
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+ | 0.7199 | 49.45 | 4500 | 0.1617 | 0.1277 |
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+ | 0.7028 | 54.94 | 5000 | 0.1572 | 0.1287 |
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+ | 0.6912 | 60.44 | 5500 | 0.1560 | 0.1249 |
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+ | 0.6492 | 65.93 | 6000 | 0.1542 | 0.1260 |
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+ | 0.6407 | 71.43 | 6500 | 0.1605 | 0.1240 |
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+ | 0.6222 | 76.92 | 7000 | 0.1577 | 0.1219 |
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+ | 0.6039 | 82.42 | 7500 | 0.1645 | 0.1249 |
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+ | 0.5928 | 87.91 | 8000 | 0.1590 | 0.1214 |
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+ | 0.6022 | 93.4 | 8500 | 0.1597 | 0.1213 |
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+ | 0.5814 | 98.9 | 9000 | 0.1599 | 0.1199 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
all_results.json CHANGED
@@ -1,14 +1,14 @@
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  {
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- "epoch": 49.99,
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- "eval_loss": 0.14973030984401703,
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- "eval_runtime": 191.6982,
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  "eval_samples": 4843,
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- "eval_samples_per_second": 25.264,
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- "eval_steps_per_second": 0.793,
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- "eval_wer": 0.1260857223956855,
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- "train_loss": 1.3462627654023223,
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- "train_runtime": 35973.7,
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  "train_samples": 11690,
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- "train_samples_per_second": 16.248,
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- "train_steps_per_second": 0.126
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  }
 
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  {
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+ "epoch": 99.99,
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+ "eval_loss": 0.15951618552207947,
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+ "eval_runtime": 182.1421,
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  "eval_samples": 4843,
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+ "eval_samples_per_second": 26.589,
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+ "eval_steps_per_second": 0.835,
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+ "eval_wer": 0.11995458416122623,
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+ "train_loss": 1.0890738963032818,
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+ "train_runtime": 51321.8258,
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  "train_samples": 11690,
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+ "train_samples_per_second": 22.778,
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+ "train_steps_per_second": 0.177
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  }
config.json CHANGED
@@ -1,5 +1,5 @@
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  {
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- "_name_or_path": "marinone94/xls-r-300m-sv-robust",
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  "activation_dropout": 0.1,
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
 
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  {
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+ "_name_or_path": "KBLab/wav2vec2-large-voxrex",
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  "activation_dropout": 0.1,
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  "adapter_kernel_size": 3,
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  "adapter_stride": 2,
eval_results.json CHANGED
@@ -1,9 +1,9 @@
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  {
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- "epoch": 49.99,
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- "eval_loss": 0.14973030984401703,
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- "eval_runtime": 191.6982,
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  "eval_samples": 4843,
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- "eval_samples_per_second": 25.264,
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- "eval_steps_per_second": 0.793,
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- "eval_wer": 0.1260857223956855
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  }
 
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  {
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+ "epoch": 99.99,
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+ "eval_loss": 0.15951618552207947,
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+ "eval_runtime": 182.1421,
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  "eval_samples": 4843,
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+ "eval_samples_per_second": 26.589,
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+ "eval_steps_per_second": 0.835,
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+ "eval_wer": 0.11995458416122623
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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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run.sh CHANGED
@@ -1,63 +1,25 @@
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- python run_speech_recognition_ctc.py \
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- --dataset_name="marinone94/nst_sv" \
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- --model_name_or_path="KBLab/wav2vec2-large-voxrex" \
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- --dataset_config_name="distant_channel" \
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- --train_split_name="train" \
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- --eval_split_name="test" \
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- --output_dir="./" \
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- --overwrite_output_dir \
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- --num_train_epochs="2" \
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- --per_device_train_batch_size="32" \
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- --per_device_eval_batch_size="32" \
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- --gradient_accumulation_steps="4" \
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- --learning_rate="7.5e-4" \
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- --warmup_ratio="0.02" \
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- --length_column_name="input_length" \
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- --evaluation_strategy="steps" \
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- --save_strategy="steps" \
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- --eval_steps="100" \
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- --save_steps="100" \
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- --text_column_name="sentence" \
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- --chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – \
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- --logging_steps="20" \
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- --layerdrop="0.0" \
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- --activation_dropout="0.1" \
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- --save_total_limit="2" \
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- --freeze_feature_encoder \
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- --feat_proj_dropout="0.0" \
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- --mask_time_prob="0.75" \
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- --mask_time_length="10" \
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- --mask_feature_prob="0.25" \
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- --mask_feature_length="64" \
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- --gradient_checkpointing \
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- --use_auth_token \
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- --fp16 \
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- --group_by_length \
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- --do_train --do_eval \
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- --push_to_hub
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-
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  python run_speech_recognition_ctc.py \
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  --dataset_name="mozilla-foundation/common_voice_8_0" \
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- --model_name_or_path="marinone94/xls-r-300m-sv-robust" \
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  --dataset_config_name="sv-SE" \
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  --train_split_name="train+validation" \
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  --eval_split_name="test" \
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  --output_dir="./" \
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  --overwrite_output_dir \
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- --num_train_epochs="50" \
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  --per_device_train_batch_size="32" \
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  --per_device_eval_batch_size="32" \
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  --gradient_accumulation_steps="4" \
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  --learning_rate="2.5e-4" \
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- --warmup_steps="2000" \
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  --length_column_name="input_length" \
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  --evaluation_strategy="steps" \
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  --save_strategy="steps" \
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- --eval_steps="100" \
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- --save_steps="100" \
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  --text_column_name="sentence" \
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  --chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – \
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- --logging_steps="20" \
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  --layerdrop="0.0" \
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  --activation_dropout="0.1" \
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  --save_total_limit="2" \
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  python run_speech_recognition_ctc.py \
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  --dataset_name="mozilla-foundation/common_voice_8_0" \
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+ --model_name_or_path="KBLab/wav2vec2-large-voxrex" \
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  --dataset_config_name="sv-SE" \
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  --train_split_name="train+validation" \
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  --eval_split_name="test" \
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  --output_dir="./" \
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  --overwrite_output_dir \
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+ --num_train_epochs="100" \
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  --per_device_train_batch_size="32" \
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  --per_device_eval_batch_size="32" \
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  --gradient_accumulation_steps="4" \
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  --learning_rate="2.5e-4" \
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+ --warmup_ratio="0.25" \
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  --length_column_name="input_length" \
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  --evaluation_strategy="steps" \
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  --save_strategy="steps" \
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+ --eval_steps="500" \
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+ --save_steps="500" \
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  --text_column_name="sentence" \
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  --chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – \
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+ --logging_steps="50" \
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  --layerdrop="0.0" \
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  --activation_dropout="0.1" \
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  --save_total_limit="2" \
special_tokens_map.json CHANGED
@@ -1 +1 @@
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