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README.md
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library_name: peft
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license: apache-2.0
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base_model: distilbert-base-uncased
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tags:
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- base_model:adapter:distilbert-base-uncased
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- lora
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- transformers
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metrics:
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- accuracy
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model-index:
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- name: distilbert-base-uncased-lora-text-classification
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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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# distilbert-base-uncased-lora-text-classification
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the
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It achieves the following results on the evaluation set:
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- Loss: 0.9717
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- Accuracy: {'accuracy': 0.872}
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---
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+
library_name: peft
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+
license: apache-2.0
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+
base_model: distilbert-base-uncased
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+
tags:
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+
- base_model:adapter:distilbert-base-uncased
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+
- lora
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+
- transformers
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metrics:
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- accuracy
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model-index:
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- name: distilbert-base-uncased-lora-text-classification
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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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# distilbert-base-uncased-lora-text-classification
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the IMDb dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.9717
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- Accuracy: {'accuracy': 0.872}
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