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mistral-ehrs-transcription-summary
gms0817/mistral-ehrs-transcription-summary
mistral-ehrs-transcription-summary is a machine learning model from gms0817. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 29, 2023
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Nov 29, 2023
- Updated
- Nov 29, 2023
- SHA
- 1812c580
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. -->
mistral-ehrs-transcription-summary
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7805
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: 2.5e-05
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.2536 | 0.17 | 25 | 1.0469 |
| 0.9063 | 0.34 | 50 | 0.8918 |
| 0.7291 | 0.51 | 75 | 0.8037 |
| 0.6537 | 0.68 | 100 | 0.7250 |
| 0.5135 | 0.85 | 125 | 0.7143 |
| 0.5284 | 1.02 | 150 | 0.7091 |
| 0.3765 | 1.19 | 175 | 0.7062 |
| 0.3222 | 1.36 | 200 | 0.7200 |
| 0.3379 | 1.53 | 225 | 0.6987 |
| 0.2712 | 1.7 | 250 | 0.7020 |
| 0.2683 | 1.87 | 275 | 0.7031 |
| 0.2785 | 2.04 | 300 | 0.7405 |
| 0.1721 | 2.21 | 325 | 0.7276 |
| 0.1822 | 2.38 | 350 | 0.7372 |
| 0.2321 | 2.55 | 375 | 0.7441 |
| 0.1753 | 2.72 | 400 | 0.7400 |
| 0.1678 | 2.89 | 425 | 0.7524 |
| 0.1708 | 3.06 | 450 | 0.7665 |
| 0.0973 | 3.23 | 475 | 0.7824 |
| 0.1266 | 3.4 | 500 | 0.7805 |
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.1.1+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- License
- apache-2.0
- Created
- Nov 29, 2023
- Updated
- Nov 29, 2023