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esberto-small

Fill-Mask Transformers PyTorch TensorBoard
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1 Parent(s): 7f2e3a7

add model

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Files changed (9) hide show
  1. README.md +6 -2
  2. pytorch_model.bin +1 -1
  3. runs/Jul26_20-16-39_013d8201b5f4/1627330607.8088796/events.out.tfevents.1627330607.013d8201b5f4.2198.1 +3 -0
  4. runs/Jul26_20-16-39_013d8201b5f4/events.out.tfevents.1627330607.013d8201b5f4.2198.0 +3 -0
  5. runs/Jul26_20-17-44_013d8201b5f4/1627330687.1352694/events.out.tfevents.1627330687.013d8201b5f4.3393.1 +3 -0
  6. runs/Jul26_20-17-44_013d8201b5f4/events.out.tfevents.1627330687.013d8201b5f4.3393.0 +3 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +1 -1
  9. training_args.bin +1 -1
README.md CHANGED
@@ -40,17 +40,21 @@ 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: 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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  ### Framework versions
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  - Transformers 4.10.0.dev0
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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: 8
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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: 64
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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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+
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+
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+
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  ### Framework versions
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  - Transformers 4.10.0.dev0
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tokenizer.json CHANGED
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tokenizer_config.json CHANGED
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