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Training complete

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  1. README.md +52 -0
  2. pytorch_model.bin +1 -1
  3. test_metrics.json +3 -0
  4. train_losses.csv +33 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: FacebookAI/roberta-base
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: roberta_base_TextClass_IMDB_adamw_torch
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+ results: []
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+ ---
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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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+ # roberta_base_TextClass_IMDB_adamw_torch
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+
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+ This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 8
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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: 5
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+
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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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+
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+ - Transformers 4.34.1
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+ - Pytorch 2.3.0+cu118
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+ - Datasets 2.19.0
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+ - Tokenizers 0.14.1
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test_metrics.json ADDED
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+ {
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+ "test_accuracy": 0.94928
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+ }
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+ loss,epoch
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+ 0.1304085351715088,5.0