Model save
Browse files- README.md +78 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: mit
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base_model: microsoft/deberta-v3-base
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tags:
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- generated_from_trainer
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metrics:
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- f1
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- accuracy
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model-index:
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- name: CS221-deberta-v3-base-finetuned
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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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# CS221-deberta-v3-base-finetuned
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This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4812
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- F1: 0.7428
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- Roc Auc: 0.8004
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- Accuracy: 0.4982
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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: 32
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- eval_batch_size: 32
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_steps: 100
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- num_epochs: 20
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
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| 0.619 | 1.0 | 70 | 0.5856 | 0.1435 | 0.5 | 0.1300 |
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| 0.4791 | 2.0 | 140 | 0.4832 | 0.4606 | 0.6568 | 0.3032 |
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| 0.3998 | 3.0 | 210 | 0.4040 | 0.5811 | 0.7136 | 0.3646 |
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| 0.3131 | 4.0 | 280 | 0.3803 | 0.6661 | 0.7461 | 0.4242 |
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| 0.2597 | 5.0 | 350 | 0.3693 | 0.6935 | 0.7671 | 0.4350 |
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| 0.2055 | 6.0 | 420 | 0.3608 | 0.7360 | 0.7979 | 0.4693 |
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| 0.1445 | 7.0 | 490 | 0.3837 | 0.7354 | 0.8020 | 0.4747 |
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| 0.1356 | 8.0 | 560 | 0.3922 | 0.7388 | 0.8087 | 0.4801 |
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| 0.095 | 9.0 | 630 | 0.4000 | 0.7380 | 0.8023 | 0.4964 |
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| 0.0829 | 10.0 | 700 | 0.4149 | 0.7385 | 0.8010 | 0.4856 |
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| 0.0585 | 11.0 | 770 | 0.4290 | 0.7570 | 0.8132 | 0.4928 |
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| 0.0473 | 12.0 | 840 | 0.4585 | 0.7317 | 0.7944 | 0.5 |
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| 0.0379 | 13.0 | 910 | 0.4754 | 0.7353 | 0.7959 | 0.4856 |
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| 0.0277 | 14.0 | 980 | 0.4812 | 0.7428 | 0.8004 | 0.4982 |
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### Framework versions
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- Transformers 4.47.0
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- Pytorch 2.5.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 737728508
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version https://git-lfs.github.com/spec/v1
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oid sha256:7aa834008dfd4c2bcfd8a1f7c72dcaf9f42464c4c05867d744931cbf92414c7d
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size 737728508
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