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xtreme_s_xlsr_2_bart_covost2_fr_en_2

Automatic Speech Recognition
Transformers
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TensorBoard
speech-encoder-decoder
Generated from Trainer
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update model card README.md

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  1. README.md +23 -23
  2. wandb/run-20220505_165612-npwlqyuz/files/output.log +16 -0
  3. wandb/run-20220505_165612-npwlqyuz/logs/debug-internal.log +16 -0
  4. wandb/run-20220505_165612-npwlqyuz/run-npwlqyuz.wandb +0 -0
README.md CHANGED
@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on the xtreme_s dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.6425
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  - Bleu: 0.0000
 
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.00012335092351490598
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Bleu |
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- |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 2.8303 | 0.15 | 500 | 4.9238 | 0.0 |
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- | 2.4062 | 0.31 | 1000 | 4.4017 | 0.0 |
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- | 1.9171 | 0.46 | 1500 | 3.6431 | 0.0000 |
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- | 1.4558 | 0.62 | 2000 | 2.8292 | 0.0000 |
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- | 1.2393 | 0.77 | 2500 | 2.3704 | 0.0000 |
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- | 1.3315 | 0.93 | 3000 | 2.3101 | 0.0000 |
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- | 1.8476 | 1.08 | 3500 | 1.9936 | 0.0000 |
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- | 1.683 | 1.23 | 4000 | 1.9308 | 0.0000 |
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- | 1.8298 | 1.39 | 4500 | 1.8817 | 0.0000 |
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- | 1.5955 | 1.54 | 5000 | 1.8171 | 0.0000 |
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- | 1.6288 | 1.7 | 5500 | 1.7821 | 0.0000 |
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- | 1.4107 | 1.85 | 6000 | 1.7170 | 0.0000 |
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- | 1.0363 | 2.01 | 6500 | 1.7419 | 0.0000 |
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- | 0.9667 | 2.16 | 7000 | 1.7309 | 0.0000 |
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- | 0.9147 | 2.31 | 7500 | 1.7244 | 0.0000 |
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- | 1.1975 | 2.47 | 8000 | 1.6716 | 0.0000 |
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- | 0.9071 | 2.62 | 8500 | 1.6886 | 0.0000 |
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- | 0.9735 | 2.78 | 9000 | 1.6609 | 0.0000 |
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- | 0.908 | 2.93 | 9500 | 1.6425 | 0.0000 |
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  ### Framework versions
 
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  This model was trained from scratch on the xtreme_s dataset.
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  It achieves the following results on the evaluation set:
 
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  - Bleu: 0.0000
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+ - Loss: 1.6425
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0004100464310609422
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
 
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  ### Training results
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+ | Training Loss | Epoch | Step | Bleu | Validation Loss |
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+ |:-------------:|:-----:|:----:|:------:|:---------------:|
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+ | 2.8303 | 0.15 | 500 | 0.0 | 4.9238 |
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+ | 2.4062 | 0.31 | 1000 | 0.0 | 4.4017 |
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+ | 1.9171 | 0.46 | 1500 | 0.0000 | 3.6431 |
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+ | 1.4558 | 0.62 | 2000 | 0.0000 | 2.8292 |
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+ | 1.2393 | 0.77 | 2500 | 0.0000 | 2.3704 |
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+ | 1.3315 | 0.93 | 3000 | 0.0000 | 2.3101 |
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+ | 1.8476 | 1.08 | 3500 | 0.0000 | 1.9936 |
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+ | 1.683 | 1.23 | 4000 | 0.0000 | 1.9308 |
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+ | 1.8298 | 1.39 | 4500 | 0.0000 | 1.8817 |
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+ | 1.5955 | 1.54 | 5000 | 0.0000 | 1.8171 |
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+ | 1.6288 | 1.7 | 5500 | 0.0000 | 1.7821 |
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+ | 1.4107 | 1.85 | 6000 | 0.0000 | 1.7170 |
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+ | 1.0363 | 2.01 | 6500 | 0.0000 | 1.7419 |
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+ | 0.9667 | 2.16 | 7000 | 0.0000 | 1.7309 |
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+ | 0.9147 | 2.31 | 7500 | 0.0000 | 1.7244 |
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+ | 1.1975 | 2.47 | 8000 | 0.0000 | 1.6716 |
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+ | 0.9071 | 2.62 | 8500 | 0.0000 | 1.6886 |
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+ | 0.9735 | 2.78 | 9000 | 0.0000 | 1.6609 |
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+ | 0.908 | 2.93 | 9500 | 0.0000 | 1.6425 |
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  ### Framework versions
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  Saving model checkpoint to ./
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  Configuration saved in ./config.json
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  Model weights saved in ./pytorch_model.bin
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  Saving model checkpoint to ./
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  Configuration saved in ./config.json
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  Model weights saved in ./pytorch_model.bin
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+ Feature extractor saved in ./preprocessor_config.json
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+ 05/05/2022 16:58:12 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/xtreme_s_xlsr_2_bart_covost2_fr_en_2
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