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End of training
Browse files- README.md +70 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: mit
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base_model: MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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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: mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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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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# mDeBERTa-v3-base-xnli-multilingual-nli-2mil7
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This model is a fine-tuned version of [MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7](https://huggingface.co/MoritzLaurer/mDeBERTa-v3-base-xnli-multilingual-nli-2mil7) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4486
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- F1 Macro: 0.8264
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- F1 Micro: 0.8274
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- Accuracy Balanced: 0.8270
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- Accuracy: 0.8274
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- Precision Macro: 0.8260
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- Recall Macro: 0.8270
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- Precision Micro: 0.8274
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- Recall Micro: 0.8274
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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: 16
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- eval_batch_size: 128
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- seed: 20241201
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 32
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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: 0.06
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- num_epochs: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1 Micro | Accuracy Balanced | Accuracy | Precision Macro | Recall Macro | Precision Micro | Recall Micro |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|:-----------------:|:--------:|:---------------:|:------------:|:---------------:|:------------:|
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| 0.3242 | 1.69 | 200 | 0.4044 | 0.8308 | 0.8312 | 0.8322 | 0.8312 | 0.8306 | 0.8322 | 0.8312 | 0.8312 |
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### Framework versions
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- Transformers 4.33.3
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- Pytorch 2.5.1+cu121
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- Datasets 2.14.7
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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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size 1115313586
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version https://git-lfs.github.com/spec/v1
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size 1115313586
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