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update model card README.md
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README.md
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---
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license: apache-2.0
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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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model-index:
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- name: slurp-intent_baseline-distilbert-base-uncased
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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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# slurp-intent_baseline-distilbert-base-uncased
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6705
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- Accuracy: 0.8701
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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: 2e-05
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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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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 2.7487 | 1.0 | 720 | 1.0701 | 0.7811 |
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| 1.1513 | 2.0 | 1440 | 0.6923 | 0.8367 |
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| 0.4843 | 3.0 | 2160 | 0.6241 | 0.8569 |
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| 0.3823 | 4.0 | 2880 | 0.6058 | 0.8637 |
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| 0.2328 | 5.0 | 3600 | 0.6172 | 0.8701 |
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| 0.2081 | 6.0 | 4320 | 0.6486 | 0.8667 |
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| 0.1472 | 7.0 | 5040 | 0.6541 | 0.8682 |
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| 0.1345 | 8.0 | 5760 | 0.6552 | 0.8716 |
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| 0.1215 | 9.0 | 6480 | 0.6695 | 0.8701 |
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| 0.0999 | 10.0 | 7200 | 0.6705 | 0.8701 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 1.13.1+cu117
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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