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update model card README.md
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README.md
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license: mit
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tags:
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- generated_from_trainer
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model-index:
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- name: deberta_amazon_reviews_v1
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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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# deberta_amazon_reviews_v1
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This model is a fine-tuned version of [
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## Model description
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 2
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### Framework versions
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- Transformers 4.17.0
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license: mit
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tags:
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- generated_from_trainer
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datasets:
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- amazon_reviews_multi
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metrics:
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- accuracy
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model-index:
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- name: deberta_amazon_reviews_v1
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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: amazon_reviews_multi
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type: amazon_reviews_multi
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args: en
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.6184
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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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# deberta_amazon_reviews_v1
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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 amazon_reviews_multi dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9076
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- Accuracy: 0.6184
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## Model description
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- lr_scheduler_warmup_steps: 200
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- num_epochs: 2
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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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| 0.9312 | 0.2 | 5000 | 0.9796 | 0.5856 |
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| 0.9316 | 0.4 | 10000 | 0.9336 | 0.5974 |
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| 0.9076 | 0.6 | 15000 | 0.9171 | 0.6026 |
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| 0.9024 | 0.8 | 20000 | 0.9194 | 0.6046 |
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| 0.8794 | 1.0 | 25000 | 0.9109 | 0.6084 |
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| 0.8067 | 1.2 | 30000 | 0.9339 | 0.6092 |
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| 0.8268 | 1.4 | 35000 | 0.9073 | 0.6162 |
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| 0.8205 | 1.6 | 40000 | 0.9042 | 0.6158 |
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| 0.795 | 1.8 | 45000 | 0.9189 | 0.6168 |
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| 0.7836 | 2.0 | 50000 | 0.9076 | 0.6184 |
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### Framework versions
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- Transformers 4.17.0
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