Model save
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README.md
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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model-index:
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- name: emotion-analysis-3000
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results: []
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# emotion-analysis-3000
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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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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Framework versions
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- Transformers 4.39.3
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base_model: distilbert-base-uncased
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tags:
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- generated_from_trainer
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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: emotion-analysis-3000
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results: []
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# emotion-analysis-3000
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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: 1.7771
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- Accuracy: 0.4625
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- F1: 0.4371
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## Model description
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- lr_scheduler_type: linear
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
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| 1.8468 | 1.0 | 4296 | 1.7954 | 0.4678 | 0.4099 |
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| 1.7181 | 2.0 | 8592 | 1.7771 | 0.4625 | 0.4371 |
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| 1.6477 | 3.0 | 12888 | 1.7850 | 0.4699 | 0.4404 |
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| 1.5421 | 4.0 | 17184 | 1.8101 | 0.4611 | 0.4385 |
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### Framework versions
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- Transformers 4.39.3
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model.safetensors
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runs/Apr16_13-27-05_DESKTOP-TE1H4IM/events.out.tfevents.1713268958.DESKTOP-TE1H4IM.2120.1
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size 416
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