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Priyanship
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Automatic Speech Recognition
Transformers
Safetensors
wav2vec2
Generated from Trainer
Model card Files
xet
Community
Priyanship commited on
Commit
91f8cb5
·
verified ·
1 Parent(s): 9d56e21

End of training

Browse files
Files changed (4) hide show
  1. README.md +5 -7
  2. all_results.json +5 -5
  3. eval_results.json +5 -5
  4. training_args.bin +1 -1
README.md CHANGED
@@ -15,12 +15,12 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: nan
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- - eval_model_preparation_time: 0.0054
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  - eval_cer: 1.0
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  - eval_wer: 1.0
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- - eval_runtime: 46.54
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- - eval_samples_per_second: 12.29
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- - eval_steps_per_second: 1.547
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  - step: 0
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  ## Model description
@@ -44,12 +44,10 @@ The following hyperparameters were used during training:
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 300
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- - gradient_accumulation_steps: 2
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- - total_train_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_steps: 1000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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  - eval_loss: nan
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+ - eval_model_preparation_time: 0.0063
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  - eval_cer: 1.0
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  - eval_wer: 1.0
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+ - eval_runtime: 212.5512
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+ - eval_samples_per_second: 14.754
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+ - eval_steps_per_second: 1.844
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  - step: 0
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  ## Model description
 
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 300
 
 
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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_steps: 15000
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  - mixed_precision_training: Native AMP
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  ### Framework versions
all_results.json CHANGED
@@ -1,10 +1,10 @@
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  {
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  "eval_cer": 1.0,
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  "eval_loss": NaN,
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- "eval_model_preparation_time": 0.0054,
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- "eval_runtime": 46.54,
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- "eval_samples": 572,
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- "eval_samples_per_second": 12.29,
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- "eval_steps_per_second": 1.547,
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  "eval_wer": 1.0
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  }
 
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  {
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  "eval_cer": 1.0,
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  "eval_loss": NaN,
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+ "eval_model_preparation_time": 0.0063,
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+ "eval_runtime": 212.5512,
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+ "eval_samples": 3136,
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+ "eval_samples_per_second": 14.754,
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+ "eval_steps_per_second": 1.844,
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  "eval_wer": 1.0
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  }
eval_results.json CHANGED
@@ -1,10 +1,10 @@
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  {
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  "eval_cer": 1.0,
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  "eval_loss": NaN,
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- "eval_model_preparation_time": 0.0054,
5
- "eval_runtime": 46.54,
6
- "eval_samples": 572,
7
- "eval_samples_per_second": 12.29,
8
- "eval_steps_per_second": 1.547,
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  "eval_wer": 1.0
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  }
 
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  {
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  "eval_cer": 1.0,
3
  "eval_loss": NaN,
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+ "eval_model_preparation_time": 0.0063,
5
+ "eval_runtime": 212.5512,
6
+ "eval_samples": 3136,
7
+ "eval_samples_per_second": 14.754,
8
+ "eval_steps_per_second": 1.844,
9
  "eval_wer": 1.0
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  }
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  size 5496
 
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  size 5496