Training completed!
Browse files- README.md +57 -0
- model.safetensors +1 -1
README.md
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---
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license: mit
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base_model: microsoft/deberta-v3-base
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tags:
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- generated_from_trainer
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model-index:
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- name: sentiment-analysis-whatsapp2
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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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# sentiment-analysis-whatsapp2
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- eval_loss: 0.1871
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- eval_accuracy: {'accuracy': 0.9445}
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- eval_f1_macro: 0.9442
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- eval_runtime: 4.3692
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- eval_samples_per_second: 457.751
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- eval_steps_per_second: 7.324
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- epoch: 2.0
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- step: 500
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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: 5e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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: 3
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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model.safetensors
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size 737731584
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version https://git-lfs.github.com/spec/v1
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