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: IE_model
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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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# IE_model
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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: 0.4341
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- Accuracy: 0.9007
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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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| 0.9432 | 1.0 | 574 | 0.5054 | 0.8537 |
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| 0.4765 | 2.0 | 1148 | 0.4133 | 0.8589 |
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| 0.4471 | 3.0 | 1722 | 0.4228 | 0.8693 |
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| 0.3666 | 4.0 | 2296 | 0.4627 | 0.8815 |
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| 0.3508 | 5.0 | 2870 | 0.3704 | 0.8833 |
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| 0.325 | 6.0 | 3444 | 0.3704 | 0.9024 |
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| 0.2662 | 7.0 | 4018 | 0.3733 | 0.9024 |
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| 0.226 | 8.0 | 4592 | 0.4024 | 0.8972 |
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| 0.1978 | 9.0 | 5166 | 0.4198 | 0.9042 |
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| 0.186 | 10.0 | 5740 | 0.4341 | 0.9007 |
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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 1346850020
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version https://git-lfs.github.com/spec/v1
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size 1346850020
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