Training complete
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: distilbert-base-uncased
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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: distilbert-base-uncased-distilled-clinc2
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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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# distilbert-base-uncased-distilled-clinc2
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2271
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- Accuracy: 0.9565
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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: 0.0002134538968230803
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- train_batch_size: 192
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- eval_batch_size: 48
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1.7007007109718952e-07
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- lr_scheduler_type: linear
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- num_epochs: 13
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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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| No log | 1.0 | 80 | 0.4718 | 0.8939 |
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| No log | 2.0 | 160 | 0.2975 | 0.9361 |
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| No log | 3.0 | 240 | 0.2616 | 0.9494 |
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| 0.5682 | 4.0 | 320 | 0.2531 | 0.9465 |
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| 0.5682 | 5.0 | 400 | 0.2412 | 0.9523 |
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| 0.5682 | 6.0 | 480 | 0.2452 | 0.9474 |
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| 0.5682 | 7.0 | 560 | 0.2388 | 0.9503 |
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| 0.1756 | 8.0 | 640 | 0.2342 | 0.9523 |
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| 0.1756 | 9.0 | 720 | 0.2289 | 0.9542 |
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| 0.1756 | 10.0 | 800 | 0.2290 | 0.9545 |
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| 0.1756 | 11.0 | 880 | 0.2261 | 0.9558 |
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| 0.1648 | 12.0 | 960 | 0.2267 | 0.9558 |
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| 0.1648 | 13.0 | 1040 | 0.2271 | 0.9565 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.2.2+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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