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phi1_5-sft-fast-a100_medilite_all_med_
olusegunola/phi1_5-sft-fast-a100_medilite_all_med_
phi1_5-sft-fast-a100_medilite_all_med_ is a text generation model from olusegunola. Use it when you need the model to write or continue text. It is set up for peft. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jan 10, 2026
- Updated
- Jan 16, 2026
- SHA
- 2671a923
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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. -->
phi1_5-sft-fast-a100_medilite_all_med_
This model is a fine-tuned version of microsoft/phi-1_5 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6199
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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6151 | 1.0 | 1427 | 1.6582 |
| 1.5908 | 2.0 | 2854 | 1.6287 |
| 1.5711 | 3.0 | 4281 | 1.6199 |
Framework versions
- PEFT 0.18.1
- Transformers 5.0.0.dev0
- Pytorch 2.9.1+cu128
- Datasets 3.2.0
- Tokenizers 0.22.2
- Task
- Text Generation
- Library
- peft
- License
- mit
- Created
- Jan 10, 2026
- Updated
- Jan 16, 2026