Training complete
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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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-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-distilled-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: 0.0337
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- Accuracy: 0.9339
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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: 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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| No log | 1.0 | 318 | 0.2507 | 0.6139 |
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| 0.3907 | 2.0 | 636 | 0.1147 | 0.8477 |
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| 0.3907 | 3.0 | 954 | 0.0737 | 0.8952 |
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| 0.1311 | 4.0 | 1272 | 0.0560 | 0.9055 |
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| 0.0799 | 5.0 | 1590 | 0.0454 | 0.9245 |
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| 0.0799 | 6.0 | 1908 | 0.0405 | 0.9294 |
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| 0.0622 | 7.0 | 2226 | 0.0372 | 0.9303 |
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| 0.0539 | 8.0 | 2544 | 0.0351 | 0.9323 |
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| 0.0539 | 9.0 | 2862 | 0.0342 | 0.9326 |
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| 0.0501 | 10.0 | 3180 | 0.0337 | 0.9339 |
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### Framework versions
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- Transformers 4.36.2
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- Pytorch 2.1.2+cpu
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- Datasets 2.16.1
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- Tokenizers 0.15.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 268290900
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version https://git-lfs.github.com/spec/v1
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size 268290900
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