Automatic Speech Recognition
Transformers
PyTorch
Swedish
wav2vec2
mozilla-foundation/common_voice_9_0
Generated from Trainer
Eval Results (legacy)
Instructions to use marinone94/xls-r-300m-sv-robust with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use marinone94/xls-r-300m-sv-robust with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="marinone94/xls-r-300m-sv-robust")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("marinone94/xls-r-300m-sv-robust") model = AutoModelForCTC.from_pretrained("marinone94/xls-r-300m-sv-robust") - Notebooks
- Google Colab
- Kaggle
Commit ·
3042312
1
Parent(s): feaf824
merge with 100 steps
Browse files- README.md +25 -56
- all_results.json +10 -10
- config.json +1 -1
- eval_results.json +6 -6
- pytorch_model.bin +1 -1
- run.sh +6 -44
- special_tokens_map.json +1 -1
- train_results.json +5 -5
- trainer_state.json +821 -1334
- training_args.bin +1 -1
README.md
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- robust-speech-event
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- model_for_talk
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datasets:
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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:
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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
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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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- 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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- num_epochs:
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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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| 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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### Framework versions
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- robust-speech-event
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- model_for_talk
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datasets:
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- common_voice
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model-index:
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- name: XLS-R-300M - Swedish
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results:
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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 the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - SV-SE dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.1595
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- Wer: 0.1200
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## Model description
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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_ratio: 0.25
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- num_epochs: 100.0
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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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| 3.0418 | 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
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all_results.json
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{
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"epoch":
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples": 4843,
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"eval_samples_per_second":
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"eval_steps_per_second": 0.
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"eval_wer": 0.
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"train_loss": 1.
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"train_runtime":
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"train_samples": 11690,
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"train_samples_per_second":
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"train_steps_per_second": 0.
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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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}
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config.json
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{
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"_name_or_path": "
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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,
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eval_results.json
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{
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"epoch":
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"eval_loss": 0.
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"eval_runtime":
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"eval_samples": 4843,
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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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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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size 1262063089
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version https://git-lfs.github.com/spec/v1
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run.sh
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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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--push_to_hub
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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="
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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="
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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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--
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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="
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--save_steps="
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--text_column_name="sentence" \
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--chars_to_ignore , ? . ! \- \; \: \" “ % ‘ ” � — ’ … – \
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--logging_steps="
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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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--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" \
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| 1 |
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