End of training
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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base_model: klue/roberta-small
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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: causal_classifier_small
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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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# causal_classifier_small
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This model is a fine-tuned version of [klue/roberta-small](https://huggingface.co/klue/roberta-small) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.7335
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- Accuracy: 0.7015
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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: 270
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- eval_batch_size: 270
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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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| 0.4603 | 1.0 | 2038 | 0.7334 | 0.6838 |
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| 0.4032 | 2.0 | 4076 | 0.7335 | 0.7015 |
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| 0.3648 | 3.0 | 6114 | 0.7501 | 0.6834 |
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| 0.3323 | 4.0 | 8152 | 0.7589 | 0.6995 |
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| 0.3056 | 5.0 | 10190 | 0.8167 | 0.6979 |
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| 0.2828 | 6.0 | 12228 | 0.8580 | 0.7007 |
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| 0.2645 | 7.0 | 14266 | 0.8950 | 0.6935 |
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| 0.2473 | 8.0 | 16304 | 0.9598 | 0.6866 |
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| 0.2318 | 9.0 | 18342 | 1.0059 | 0.6866 |
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| 0.2249 | 10.0 | 20380 | 1.0261 | 0.6858 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.4.0+cu124
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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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version https://git-lfs.github.com/spec/v1
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size 272385276
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