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Browse files- README.md +71 -0
- adapter_model.safetensors +1 -1
README.md
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---
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base_model: distilbert-base-uncased
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library_name: peft
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license: apache-2.0
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metrics:
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- f1
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tags:
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- generated_from_trainer
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model-index:
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- name: distilbert-base-uncased-ICU-Readmission-classification_test2_DistilBERT
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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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should probably proofread and complete it, then remove this comment. -->
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# distilbert-base-uncased-ICU-Readmission-classification_test2_DistilBERT
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This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6973
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- F1: 0.5333
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0001
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 0.7109 | 1.0 | 125 | 0.6959 | 0.4396 |
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| 0.668 | 2.0 | 250 | 0.6841 | 0.5192 |
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| 0.6016 | 3.0 | 375 | 0.6925 | 0.5098 |
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| 0.5938 | 4.0 | 500 | 0.6892 | 0.5472 |
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| 0.5625 | 5.0 | 625 | 0.6994 | 0.5000 |
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| 0.6445 | 6.0 | 750 | 0.6970 | 0.5049 |
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| 0.6602 | 7.0 | 875 | 0.6961 | 0.5333 |
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| 0.6328 | 8.0 | 1000 | 0.6953 | 0.5333 |
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| 0.625 | 9.0 | 1125 | 0.6975 | 0.5333 |
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| 0.6406 | 10.0 | 1250 | 0.6973 | 0.5333 |
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.44.0
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- Pytorch 2.4.0
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 1481324
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version https://git-lfs.github.com/spec/v1
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oid sha256:78157afe243e332e529dcb3e828ddcc1a1f5e0a8a762e7961fe4f0a7bc6cafb5
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size 1481324
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