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Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: cc-by-4.0
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base_model: deepset/deberta-v3-large-squad2
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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: deberta-large_vMCQ
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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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# deberta-large_vMCQ
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This model is a fine-tuned version of [deepset/deberta-v3-large-squad2](https://huggingface.co/deepset/deberta-v3-large-squad2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3480
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- Accuracy: 0.9061
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 1
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.5525 | 0.17 | 1000 | 0.4781 | 0.8777 |
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| 0.4107 | 0.33 | 2000 | 0.3763 | 0.8924 |
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| 0.3733 | 0.5 | 3000 | 0.3605 | 0.8967 |
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| 0.39 | 0.67 | 4000 | 0.3378 | 0.9050 |
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| 0.3674 | 0.83 | 5000 | 0.3407 | 0.9053 |
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| 0.3507 | 1.0 | 6000 | 0.3480 | 0.9061 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.0.0
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- Datasets 2.1.0
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- Tokenizers 0.14.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
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size 1740300340
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version https://git-lfs.github.com/spec/v1
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size 1740300340
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