Training completed!
Browse files- README.md +84 -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: MoritzLaurer/mDeBERTa-v3-base-mnli-xnli
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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-mDeBERTa-v3-base-mnli-xnli-finetuned-20-epochs
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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-mDeBERTa-v3-base-mnli-xnli-finetuned-20-epochs
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This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-mnli-xnli](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-mnli-xnli) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5558
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- F1: 0.7088
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- Roc Auc: 0.7803
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- Accuracy: 0.3953
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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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| 0.6081 | 1.0 | 64 | 0.5854 | 0.4511 | 0.6250 | 0.1759 |
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| 0.5318 | 2.0 | 128 | 0.5056 | 0.5413 | 0.6739 | 0.2905 |
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| 0.4634 | 3.0 | 192 | 0.4846 | 0.6178 | 0.7158 | 0.3103 |
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| 0.417 | 4.0 | 256 | 0.4696 | 0.6609 | 0.7452 | 0.3340 |
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| 0.3762 | 5.0 | 320 | 0.4645 | 0.6707 | 0.7522 | 0.3577 |
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| 0.3187 | 6.0 | 384 | 0.4622 | 0.6802 | 0.7591 | 0.3636 |
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| 0.2801 | 7.0 | 448 | 0.4691 | 0.6953 | 0.7702 | 0.3557 |
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| 0.2593 | 8.0 | 512 | 0.4847 | 0.6833 | 0.7614 | 0.3498 |
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| 0.2278 | 9.0 | 576 | 0.4878 | 0.6941 | 0.7691 | 0.3775 |
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| 0.1917 | 10.0 | 640 | 0.5014 | 0.7001 | 0.7735 | 0.3834 |
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| 0.1761 | 11.0 | 704 | 0.5298 | 0.7020 | 0.7747 | 0.3893 |
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| 0.1494 | 12.0 | 768 | 0.5417 | 0.7009 | 0.7741 | 0.3972 |
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| 0.1422 | 13.0 | 832 | 0.5437 | 0.7074 | 0.7791 | 0.3953 |
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| 0.1132 | 14.0 | 896 | 0.5602 | 0.6965 | 0.7709 | 0.3794 |
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| 0.108 | 15.0 | 960 | 0.5558 | 0.7088 | 0.7803 | 0.3953 |
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| 0.0945 | 16.0 | 1024 | 0.5700 | 0.7026 | 0.7753 | 0.3913 |
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| 0.1004 | 17.0 | 1088 | 0.5748 | 0.7055 | 0.7776 | 0.3953 |
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| 0.0857 | 18.0 | 1152 | 0.5733 | 0.7056 | 0.7776 | 0.3913 |
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| 0.0893 | 19.0 | 1216 | 0.5731 | 0.7032 | 0.7759 | 0.3913 |
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| 0.0881 | 20.0 | 1280 | 0.5735 | 0.7040 | 0.7765 | 0.3913 |
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### Framework versions
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- Transformers 4.47.1
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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
CHANGED
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1115277436
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version https://git-lfs.github.com/spec/v1
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oid sha256:7d8db39fbc3869cb3d9a9ccb283485c3ee021408fdf7ad3fecfd6522ecff3da7
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size 1115277436
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