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wav2vec2-large-xls-r-300m-mn

Automatic Speech Recognition
Transformers
PyTorch
Mongolian
wav2vec2
Generated from Trainer
hf-asr-leaderboard
robust-speech-event
mozilla-foundation/common_voice_8_0
Eval Results
Inference Endpoints
Model card Files Community
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update model card README.md

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  1. README.md +68 -0
  2. wandb/run-20220204_121013-1s9mhb6h/files/output.log +27 -0
  3. wandb/run-20220204_121013-1s9mhb6h/logs/debug-internal.log +32 -0
  4. wandb/run-20220204_121013-1s9mhb6h/run-1s9mhb6h.wandb +0 -0
README.md ADDED
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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice
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+ model-index:
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+ - name: ''
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ #
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.5476
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+ - Wer: 0.4059
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0003
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+ - train_batch_size: 32
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 64
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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: 500
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+ - num_epochs: 40.0
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | No log | 6.35 | 400 | 0.9380 | 0.7902 |
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+ | 3.2674 | 12.7 | 800 | 0.5794 | 0.5309 |
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+ | 0.7531 | 19.05 | 1200 | 0.5749 | 0.4815 |
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+ | 0.5382 | 25.4 | 1600 | 0.5530 | 0.4447 |
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+ | 0.4293 | 31.75 | 2000 | 0.5709 | 0.4237 |
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+ | 0.4293 | 38.1 | 2400 | 0.5476 | 0.4059 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.17.0.dev0
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+ - Pytorch 1.10.1+cu102
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0
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+ 02/04/2022 15:03:59 - WARNING - huggingface_hub.repository - To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-mn
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+ Upload file pytorch_model.bin: 100%|██████████████████████████████████████████████████████▊| 1.17G/1.18G [00:40<00:00, 31.9MB/s]To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-mn
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