End of training
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README.md
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metrics:
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- accuracy
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- f1
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model-index:
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- name: finetuning-sentiment-model-samples
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown 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 2.1.
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: finetuning-sentiment-model-samples
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results: []
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2302
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- Accuracy: 0.9092
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- F1: 0.9102
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- Precision: 0.9069
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- Recall: 0.9135
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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/Nov30_01-05-20_97a8a99fccc8/events.out.tfevents.1701307868.97a8a99fccc8.672.3
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e92e5beeb600def7b8869bbbb75372d77d832d7cfb96ea49f930923fb75cc89
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size 560
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