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update model card README.md

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README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - librispeech_asr
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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 was trained from scratch on the librispeech_asr dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.3097
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+ - Wer: 0.0932
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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: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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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: 5.0
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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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+ | 4.4678 | 1.12 | 500 | 4.3530 | 1.7717 |
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+ | 0.464 | 2.24 | 1000 | 0.4857 | 0.1449 |
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+ | 0.1376 | 3.36 | 1500 | 0.3394 | 0.1046 |
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+ | 0.0826 | 4.48 | 2000 | 0.3097 | 0.0932 |
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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 1.10.2+cu113
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+ - Datasets 1.18.3
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+ - Tokenizers 0.11.0
wandb/run-20220322_163235-2yj5gh94/files/output.log CHANGED
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  [INFO|configuration_utils.py:438] 2022-03-23 00:08:24,862 >> Configuration saved in ./config.jsons of the input, floating-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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  [INFO|configuration_utils.py:438] 2022-03-23 00:08:36,626 >> Configuration saved in ./config.jsons of the input, floating-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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  [INFO|configuration_utils.py:438] 2022-03-23 00:08:36,626 >> Configuration saved in ./config.jsons of the input, floating-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  [INFO|configuration_utils.py:438] 2022-03-23 00:08:24,862 >> Configuration saved in ./config.jsons of the input, floating-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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  [INFO|configuration_utils.py:438] 2022-03-23 00:08:36,626 >> Configuration saved in ./config.jsons of the input, floating-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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  [INFO|configuration_utils.py:438] 2022-03-23 00:08:36,626 >> Configuration saved in ./config.jsons of the input, floating-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+ Upload file wandb/run-20220322_163235-2yj5gh94/run-2yj5gh94.wandb: 4%|▍ | 8.16M/216M [00:01<00:25, 8.49MB/s]g-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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+ Upload file wandb/run-20220322_163235-2yj5gh94/run-2yj5gh94.wandb: 19%|██▎ | 41.2M/216M [00:03<00:12, 15.2MB/s]g-point operations will not be computed-22 23:49:41,933 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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