End of training
Browse files- README.md +68 -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/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: mental_classification
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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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# mental_classification
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This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/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: 0.5913
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- Accuracy: 0.8815
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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: 15
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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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| 2.2665 | 1.5038 | 197 | 1.6089 | 0.5908 |
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| 1.1385 | 3.0076 | 394 | 1.0268 | 0.7610 |
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| 0.5896 | 4.5115 | 591 | 0.7455 | 0.8394 |
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| 0.3186 | 6.0153 | 788 | 0.6275 | 0.8566 |
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| 0.1691 | 7.5191 | 985 | 0.5975 | 0.8719 |
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| 0.0971 | 9.0229 | 1182 | 0.5844 | 0.8623 |
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| 0.0597 | 10.5267 | 1379 | 0.5824 | 0.8757 |
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| 0.0418 | 12.0305 | 1576 | 0.5894 | 0.8776 |
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| 0.0334 | 13.5344 | 1773 | 0.5913 | 0.8815 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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 267918696
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version https://git-lfs.github.com/spec/v1
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size 267918696
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