End of training
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README.md
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---
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base_model: vinai/phobert-base
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tags:
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- generated_from_trainer
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model-index:
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- name: phobert-base-finetuned
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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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# phobert-base-finetuned
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This model is a fine-tuned version of [vinai/phobert-base](https://huggingface.co/vinai/phobert-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 1.3863
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- eval_accuracy: 0.2459
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- eval_runtime: 93.3925
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- eval_samples_per_second: 60.797
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- eval_steps_per_second: 3.801
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- epoch: 7.0
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- step: 9940
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0027
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.1.0+cu118
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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model.safetensors
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