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bart-large-mimiciii-v2
dmacres/bart-large-mimiciii-v2
bart-large-mimiciii-v2 is a machine learning model from dmacres. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- bart
- Access
- Public
- Created
- Nov 15, 2023
- Updated
- Nov 15, 2023
- SHA
- 7f4fd6fa
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
bart-large-mimiciii-v2
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.2376
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0398 | 0.32 | 500 | 2.8919 |
| 2.6518 | 0.64 | 1000 | 2.5574 |
| 2.5785 | 0.96 | 1500 | 2.4426 |
| 2.4006 | 1.28 | 2000 | 2.4163 |
| 2.3405 | 1.6 | 2500 | 2.3530 |
| 2.3185 | 1.92 | 3000 | 2.3148 |
| 2.2378 | 2.24 | 3500 | 2.2775 |
| 2.1804 | 2.56 | 4000 | 2.2529 |
| 2.1945 | 2.88 | 4500 | 2.2376 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
- Library
- transformers
- Type
- bart
- License
- apache-2.0
- Created
- Nov 15, 2023
- Updated
- Nov 15, 2023