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update model card README.md
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README.md
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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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- accuracy
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- precision
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- recall
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- f1
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model-index:
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- name: twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes
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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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# twitter-data-microsoft-xtremedistil-l6-h256-uncased-sentiment-finetuned-memes
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This model is a fine-tuned version of [microsoft/xtremedistil-l6-h256-uncased](https://huggingface.co/microsoft/xtremedistil-l6-h256-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3635
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- Accuracy: 0.8756
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- Precision: 0.8761
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- Recall: 0.8756
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- F1: 0.8755
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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: 1e-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: 6
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
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| 0.6142 | 1.0 | 1762 | 0.5396 | 0.8022 | 0.8010 | 0.8022 | 0.8014 |
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| 0.4911 | 2.0 | 3524 | 0.4588 | 0.8322 | 0.8332 | 0.8322 | 0.8325 |
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| 0.4511 | 3.0 | 5286 | 0.4072 | 0.8562 | 0.8564 | 0.8562 | 0.8559 |
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| 0.412 | 4.0 | 7048 | 0.3825 | 0.8673 | 0.8680 | 0.8673 | 0.8672 |
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| 0.3886 | 5.0 | 8810 | 0.3677 | 0.8745 | 0.8753 | 0.8745 | 0.8745 |
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| 0.3914 | 6.0 | 10572 | 0.3635 | 0.8756 | 0.8761 | 0.8756 | 0.8755 |
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### Framework versions
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- Transformers 4.24.0.dev0
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- Pytorch 1.11.0+cu102
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- Datasets 2.6.1
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- Tokenizers 0.13.1
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