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update model card README.md
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README.md
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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:
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- Wer:
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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:
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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: 16
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- total_train_batch_size:
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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| 3.8931 | 6.73 | 1500 | 4.2505 | 0.9688 |
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| 3.3698 | 8.97 | 2000 | 4.2599 | 1.0191 |
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### Framework versions
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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: 0.3524
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- Wer: 0.1042
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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: 0.0003
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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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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 16
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- total_train_batch_size: 256
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- total_eval_batch_size: 16
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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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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 2.7605 | 4.5 | 500 | 2.6299 | 1.4451 |
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| 0.1177 | 9.01 | 1000 | 0.3524 | 0.1042 |
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### Framework versions
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wandb/run-20220328_170142-by95ehra/files/output.log
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[INFO|trainer.py:2114] 2022-03-29 00:13:12,718 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2114] 2022-03-29 00:13:24,702 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2114] 2022-03-29 00:13:24,702 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2114] 2022-03-29 00:13:12,718 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2114] 2022-03-29 00:13:24,702 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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[INFO|trainer.py:2114] 2022-03-29 00:13:24,702 >> Saving model checkpoint to ./=)compatible with gradient checkpointing. Setting `use_cache=False`...e computed-29 00:09:25,483 >> `use_cache=True` is incompatible with gradient checkpointing. Setting `use_cache=False`...
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03/29/2022 00:16:52 - WARNING - huggingface_hub.repository - To https://huggingface.co/sanchit-gandhi/wav2vec2-2-bart-large-cnn
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