End of training
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README.md
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---
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license: apache-2.0
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base_model: bert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name:
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results: []
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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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This model
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It achieves the following results on the evaluation set:
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- Loss: 2.1621
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 150
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- eval_batch_size:
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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:
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.7729 | 1.0 | 14050 | 3.8005 |
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| 2.408 | 2.0 | 28100 | 2.3630 |
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| 2.1739 | 3.0 | 42150 | 2.1621 |
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### Framework versions
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tags:
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- generated_from_trainer
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model-index:
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- name: language-modeling-from-scratch-ml
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results: []
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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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# language-modeling-from-scratch-ml
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This model was trained from scratch on the None dataset.
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## Model description
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 150
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- eval_batch_size: 250
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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: 512
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### Framework versions
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pytorch_model.bin
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