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sgugger commited on
Commit
aa7de73
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1 Parent(s): 3f7444c

add tokenizer

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Files changed (8) hide show
  1. README.md +6 -3
  2. runs/Jul26_18-29-43_9e8a2db4e8a4/1627324214.3365142/events.out.tfevents.1627324214.9e8a2db4e8a4.1114.1 +3 -0
  3. runs/Jul26_18-29-43_9e8a2db4e8a4/events.out.tfevents.1627324214.9e8a2db4e8a4.1114.0 +3 -0
  4. runs/Jul26_18-34-47_9e8a2db4e8a4/1627324503.7256596/events.out.tfevents.1627324503.9e8a2db4e8a4.2348.1 +3 -0
  5. runs/Jul26_18-34-47_9e8a2db4e8a4/events.out.tfevents.1627324503.9e8a2db4e8a4.2348.0 +3 -0
  6. runs/Jul26_19-13-45_9e8a2db4e8a4/1627326849.311876/events.out.tfevents.1627326849.9e8a2db4e8a4.34381.1 +3 -0
  7. runs/Jul26_19-13-45_9e8a2db4e8a4/events.out.tfevents.1627326849.9e8a2db4e8a4.34381.0 +3 -0
  8. training_args.bin +1 -1
README.md CHANGED
@@ -40,13 +40,16 @@ More information needed
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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: 64
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  - eval_batch_size: 8
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  - seed: 42
 
 
 
 
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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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  - num_epochs: 1
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- - mixed_precision_training: Native AMP
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  ### Training results
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@@ -55,6 +58,6 @@ The following hyperparameters were used during training:
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  ### Framework versions
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  - Transformers 4.10.0.dev0
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- - Pytorch 1.8.1+cu111
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  - Datasets 1.10.3.dev0
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  - Tokenizers 0.10.3
 
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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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+ - distributed_type: tpu
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+ - num_devices: 8
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+ - total_train_batch_size: 256
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+ - total_eval_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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  - num_epochs: 1
 
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  ### Training results
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  ### Framework versions
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  - Transformers 4.10.0.dev0
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+ - Pytorch 1.9.0+cu102
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  - Datasets 1.10.3.dev0
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  - Tokenizers 0.10.3
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