End of training
Browse files- README.md +68 -0
- model.safetensors +1 -1
README.md
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---
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base_model: klue/roberta-large
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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: label_4_Test
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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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# label_4_Test
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This model is a fine-tuned version of [klue/roberta-large](https://huggingface.co/klue/roberta-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0461
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- Accuracy: 0.9899
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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: 8
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- eval_batch_size: 8
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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 | 99 | 0.0693 | 0.9798 |
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| No log | 2.0 | 198 | 0.0522 | 0.9798 |
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| No log | 3.0 | 297 | 0.0581 | 0.9697 |
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| No log | 4.0 | 396 | 0.0394 | 0.9899 |
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| No log | 5.0 | 495 | 0.0367 | 0.9899 |
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| 0.1504 | 6.0 | 594 | 0.0506 | 0.9899 |
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| 0.1504 | 7.0 | 693 | 0.0402 | 0.9899 |
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| 0.1504 | 8.0 | 792 | 0.0476 | 0.9899 |
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| 0.1504 | 9.0 | 891 | 0.0453 | 0.9899 |
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| 0.1504 | 10.0 | 990 | 0.0461 | 0.9899 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.2.2+cu121
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- Datasets 2.19.0
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- Tokenizers 0.15.2
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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 1346690120
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version https://git-lfs.github.com/spec/v1
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size 1346690120
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