Training completed!
Browse files
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-finetuned-clinc
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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-finetuned-clinc
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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: 0.7976
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- Accuracy: 0.9152
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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: 48
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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=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 5
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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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| 4.3006 | 1.0 | 318 | 3.2970 | 0.7323 |
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| 2.6435 | 2.0 | 636 | 1.8926 | 0.8484 |
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| 1.57 | 3.0 | 954 | 1.1789 | 0.8877 |
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| 1.0348 | 4.0 | 1272 | 0.8841 | 0.9071 |
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| 0.8186 | 5.0 | 1590 | 0.7976 | 0.9152 |
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### Framework versions
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- Transformers 4.45.2
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- Pytorch 2.5.0
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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runs/Oct23_23-31-51_p16/events.out.tfevents.1729697961.p16.148475.1
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version https://git-lfs.github.com/spec/v1
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size
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version https://git-lfs.github.com/spec/v1
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size 15504
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