Model save
Browse files- README.md +66 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: ys7yoo/nli_klue_roberta_large_lr1e-05_wd1e-03
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tags:
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- generated_from_trainer
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datasets:
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- klue
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model-index:
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- name: sts_nli_klue_roberta_large_lr1e_05_wd1e_03_lr1e-05_wd1e-03_ep5_ckpt
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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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# sts_nli_klue_roberta_large_lr1e_05_wd1e_03_lr1e-05_wd1e-03_ep5_ckpt
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This model is a fine-tuned version of [ys7yoo/nli_klue_roberta_large_lr1e-05_wd1e-03](https://huggingface.co/ys7yoo/nli_klue_roberta_large_lr1e-05_wd1e-03) on the klue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3169
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- Mse: 0.3169
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- Mae: 0.4090
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- R2: 0.8549
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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: 1e-05
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- train_batch_size: 64
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- eval_batch_size: 64
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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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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Mse | Mae | R2 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|
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| 1.1893 | 1.0 | 183 | 0.5904 | 0.5904 | 0.5827 | 0.7296 |
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| 0.1418 | 2.0 | 366 | 0.4095 | 0.4095 | 0.4737 | 0.8125 |
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| 0.0967 | 3.0 | 549 | 0.3657 | 0.3657 | 0.4383 | 0.8326 |
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| 0.0752 | 4.0 | 732 | 0.3391 | 0.3391 | 0.4254 | 0.8447 |
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| 0.06 | 5.0 | 915 | 0.3169 | 0.3169 | 0.4090 | 0.8549 |
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### Framework versions
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- Transformers 4.33.2
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- Pytorch 2.0.1+cu117
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- Datasets 2.13.0
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- Tokenizers 0.13.3
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 1346765233
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version https://git-lfs.github.com/spec/v1
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size 1346765233
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