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trump-market-predictor
peterdroon/trump-market-predictor
trump-market-predictor is a text generation model from peterdroon. 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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Repo size
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At a glance
- Task
- Text Generation
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Apr 3, 2026
- Updated
- Apr 4, 2026
- SHA
- 627acc1d
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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. -->
trump-market-predictor
This model is a fine-tuned version of microsoft/Phi-3.5-mini-instruct on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2617
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6342 | 2.2989 | 25 | 1.4554 |
| 1.2701 | 4.5977 | 50 | 1.2766 |
| 1.2681 | 6.8966 | 75 | 1.2617 |
Framework versions
- PEFT 0.18.1
- Transformers 4.44.2
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- peft
- License
- mit
- Created
- Apr 3, 2026
- Updated
- Apr 4, 2026