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README.md
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---
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license:
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tags:
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- generated_from_trainer
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model-index:
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- name: Greg-Sentiment-classifier
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results: []
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# Greg-Sentiment-classifier
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This model is a fine-tuned version of [
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate:
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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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- lr_scheduler_type: linear
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- num_epochs: 6
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### Framework versions
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- Transformers 4.30.2
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license: mit
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tags:
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- generated_from_trainer
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metrics:
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- f1
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model-index:
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- name: Greg-Sentiment-classifier
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results: []
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# Greg-Sentiment-classifier
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This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co/microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0165
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- F1: 0.3222
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## Model description
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.004
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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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- lr_scheduler_type: linear
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- num_epochs: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.0386 | 1.0 | 499 | 1.0199 | 0.2347 |
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| 1.0437 | 2.0 | 998 | 1.0226 | 0.2347 |
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| 1.066 | 3.0 | 1497 | 1.0207 | 0.2347 |
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| 1.0183 | 4.0 | 1996 | 1.0173 | 0.3222 |
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| 0.9965 | 5.0 | 2495 | 1.0194 | 0.2347 |
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| 0.9548 | 6.0 | 2994 | 1.0165 | 0.3222 |
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### Framework versions
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- Transformers 4.30.2
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