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wav2vec2-large-xls-r-300m-el

Automatic Speech Recognition
Transformers
PyTorch
Greek
wav2vec2
Generated from Trainer
robust-speech-event
hf-asr-leaderboard
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 +71 -0
  2. wandb/run-20220204_170031-gzsqxey3/files/output.log +24 -0
  3. wandb/run-20220204_170031-gzsqxey3/logs/debug-internal.log +31 -0
  4. wandb/run-20220204_170031-gzsqxey3/run-gzsqxey3.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: 0.3205
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+ - Wer: 0.3084
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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: 5e-05
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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: 400
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+ - num_epochs: 80.0
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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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+ | 6.3683 | 8.77 | 500 | 3.1280 | 1.0 |
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+ | 1.9915 | 17.54 | 1000 | 0.6600 | 0.6444 |
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+ | 0.6565 | 26.32 | 1500 | 0.4208 | 0.4486 |
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+ | 0.4484 | 35.09 | 2000 | 0.3885 | 0.4006 |
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+ | 0.3573 | 43.86 | 2500 | 0.3548 | 0.3626 |
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+ | 0.3063 | 52.63 | 3000 | 0.3375 | 0.3430 |
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+ | 0.2751 | 61.4 | 3500 | 0.3359 | 0.3241 |
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+ | 0.2511 | 70.18 | 4000 | 0.3222 | 0.3108 |
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+ | 0.2361 | 78.95 | 4500 | 0.3205 | 0.3084 |
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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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  Model weights saved in ./pytorch_model.bin
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ 02/04/2022 20:59:39 - WARNING - huggingface_hub.repository - To https://huggingface.co/ayameRushia/wav2vec2-large-xls-r-300m-el
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