Model save
Browse files- README.md +84 -0
- pytorch_model.bin +1 -1
README.md
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---
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base_model: ys7yoo/sts_roberta_large_lr1e-05_wd1e-03_ep5
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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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metrics:
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- accuracy
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- f1
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model-index:
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- name: nli_sts_roberta_large_lr1e_05_wd1e_03_ep5_lr1e-05_wd1e-03_ep5_ckpt
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results:
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- task:
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name: Text Classification
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type: text-classification
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dataset:
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name: klue
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type: klue
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config: nli
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split: validation
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args: nli
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8986666666666666
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- name: F1
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type: f1
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value: 0.8985280502079203
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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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# nli_sts_roberta_large_lr1e_05_wd1e_03_ep5_lr1e-05_wd1e-03_ep5_ckpt
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This model is a fine-tuned version of [ys7yoo/sts_roberta_large_lr1e-05_wd1e-03_ep5](https://huggingface.co/ys7yoo/sts_roberta_large_lr1e-05_wd1e-03_ep5) on the klue dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4971
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- Accuracy: 0.8987
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- F1: 0.8985
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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 | Accuracy | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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| 0.5471 | 1.0 | 391 | 0.3522 | 0.876 | 0.8756 |
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| 0.2379 | 2.0 | 782 | 0.3345 | 0.8983 | 0.8981 |
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| 0.1215 | 3.0 | 1173 | 0.3708 | 0.8997 | 0.8995 |
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| 0.0661 | 4.0 | 1564 | 0.4734 | 0.896 | 0.8958 |
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| 0.0407 | 5.0 | 1955 | 0.4971 | 0.8987 | 0.8985 |
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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 1346773425
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version https://git-lfs.github.com/spec/v1
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oid sha256:92d4070ee2a70d2e16fd9ff970b25c3f57d07b14c5671e0006f83920b374b75f
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size 1346773425
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