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--- |
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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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--- |
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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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# 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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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: 0.004 |
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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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- 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: 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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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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