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End of training
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README.md
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- f1
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model-index:
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- name: finetuning-sentiment-model-3000-samples
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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: imdb
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type: imdb
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config: plain_text
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split: test
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args: plain_text
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metrics:
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- name: Accuracy
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type: accuracy
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value: 0.8666666666666667
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- name: F1
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type: f1
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value: 0.8684210526315789
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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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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.
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- Accuracy: 0.
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- F1: 0.
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## Model description
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 1.
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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- f1
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model-index:
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- name: finetuning-sentiment-model-3000-samples
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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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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: 0.6467
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- Accuracy: 0.77
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- F1: 0.7544
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## Model description
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu118
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Nov19_22-29-11_c37cab3f2367/events.out.tfevents.1700433350.c37cab3f2367.475.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:52c7bed4e5a2b1107df103ebe3dd84cd349a0576bec96043b3f0b637bbcd906c
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size 457
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