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minstral-ehrs-summary-only
gms0817/minstral-ehrs-summary-only
minstral-ehrs-summary-only 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
- 5871460b
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-finetune
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: 1.3504
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: 2
- 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 |
|---|---|---|---|
| 1.5945 | 0.34 | 25 | 1.3418 |
| 1.3094 | 0.68 | 50 | 1.2070 |
| 1.1752 | 1.01 | 75 | 1.1013 |
| 0.8458 | 1.35 | 100 | 1.0712 |
| 0.8304 | 1.69 | 125 | 1.0180 |
| 0.8065 | 2.03 | 150 | 0.9862 |
| 0.5175 | 2.36 | 175 | 1.0248 |
| 0.5338 | 2.7 | 200 | 0.9893 |
| 0.5067 | 3.04 | 225 | 0.9652 |
| 0.3168 | 3.38 | 250 | 1.0276 |
| 0.3013 | 3.72 | 275 | 1.0303 |
| 0.2889 | 4.05 | 300 | 1.0394 |
| 0.1795 | 4.39 | 325 | 1.0897 |
| 0.1839 | 4.73 | 350 | 1.1295 |
| 0.1379 | 5.07 | 375 | 1.1637 |
| 0.1056 | 5.41 | 400 | 1.2005 |
| 0.1047 | 5.74 | 425 | 1.2335 |
| 0.0842 | 6.08 | 450 | 1.2364 |
| 0.0603 | 6.42 | 475 | 1.3483 |
| 0.0576 | 6.76 | 500 | 1.3504 |
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