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End of training
Browse files- README.md +0 -11
- adapter_config.json +1 -1
- adapter_model.safetensors +2 -2
- training_args.bin +1 -1
README.md
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- generated_from_trainer
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datasets:
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- imdb
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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-3000-samples
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results: []
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# finetuning-sentiment-model-3000-samples
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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: 0.6461
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- Accuracy: 0.78
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- F1: 0.7676
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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### Framework versions
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- Transformers 4.35.2
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- generated_from_trainer
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datasets:
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- imdb
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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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# finetuning-sentiment-model-3000-samples
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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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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Framework versions
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- Transformers 4.35.2
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path":
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "distilbert-base-uncased",
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"bias": "none",
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"fan_in_fan_out": false,
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"inference_mode": true,
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adapter_model.safetensors
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training_args.bin
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