eskayML/interview_electra
Browse files- README.md +22 -22
- config.json +20 -20
- model.safetensors +1 -1
- runs/Jul04_10-20-17_0e9ed6c0f9ab/events.out.tfevents.1720088418.0e9ed6c0f9ab.907.3 +3 -0
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 |
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| No log | 2.0 |
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| No log | 3.0 |
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| No log | 4.0 |
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| No log | 5.0 |
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| No log | 6.0 |
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### Framework versions
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This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.6988
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- Accuracy: 0.7407
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 54 | 2.2849 | 0.1667 |
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| No log | 2.0 | 108 | 2.2588 | 0.2407 |
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| No log | 3.0 | 162 | 2.2142 | 0.3611 |
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| No log | 4.0 | 216 | 2.1773 | 0.4259 |
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| No log | 5.0 | 270 | 2.1220 | 0.4352 |
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| No log | 6.0 | 324 | 2.0728 | 0.4722 |
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| No log | 7.0 | 378 | 2.0330 | 0.4444 |
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| No log | 8.0 | 432 | 1.9932 | 0.5926 |
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| No log | 9.0 | 486 | 1.9483 | 0.5463 |
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| 2.1678 | 10.0 | 540 | 1.9101 | 0.6296 |
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| 2.1678 | 11.0 | 594 | 1.8723 | 0.6204 |
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| 2.1678 | 12.0 | 648 | 1.8451 | 0.6296 |
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| 2.1678 | 13.0 | 702 | 1.8032 | 0.7130 |
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| 2.1678 | 14.0 | 756 | 1.7804 | 0.7037 |
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| 2.1678 | 15.0 | 810 | 1.7568 | 0.7315 |
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| 2.1678 | 16.0 | 864 | 1.7362 | 0.7315 |
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| 2.1678 | 17.0 | 918 | 1.7211 | 0.7315 |
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| 2.1678 | 18.0 | 972 | 1.7084 | 0.7407 |
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| 1.8545 | 19.0 | 1026 | 1.7017 | 0.7407 |
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| 1.8545 | 20.0 | 1080 | 1.6988 | 0.7407 |
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### Framework versions
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config.json
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"id2label": {
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"0": "
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"1": "
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"2": "
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"3": "
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"4": "
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"5": "
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"6": "
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"7": "
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"8": "
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"9": "
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},
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"label2id": {
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"Clinical utility & efficiency-Provider perspective":
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"Credentialing / Quality Assurance Infrastructure":
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"Finanicial Impact":
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"Health System Characteristics":
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"Imaging modalities in general":
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"Patient/Physican interaction in LUS":
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"Provider Characteristics":
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"Training":
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"Value equation":
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"Workflow related problems":
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"hidden_dropout_prob": 0.1,
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"hidden_size": 256,
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"id2label": {
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"0": "Provider Characteristics",
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"1": "Finanicial Impact",
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"2": "Imaging modalities in general",
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"3": "Clinical utility & efficiency-Provider perspective",
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"4": "Health System Characteristics",
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"5": "Training",
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"6": "Value equation",
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"7": "Workflow related problems",
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"8": "Credentialing / Quality Assurance Infrastructure",
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"9": "Patient/Physican interaction in LUS"
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},
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"initializer_range": 0.02,
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"intermediate_size": 1024,
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"label2id": {
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"Clinical utility & efficiency-Provider perspective": 3,
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"Credentialing / Quality Assurance Infrastructure": 8,
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"Finanicial Impact": 1,
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"Health System Characteristics": 4,
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"Imaging modalities in general": 2,
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"Patient/Physican interaction in LUS": 9,
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"Provider Characteristics": 0,
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"Training": 5,
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"Value equation": 6,
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"Workflow related problems": 7
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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model.safetensors
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runs/Jul04_10-20-17_0e9ed6c0f9ab/events.out.tfevents.1720088418.0e9ed6c0f9ab.907.3
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training_args.bin
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