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Phi-3-mini-128k-instruct-advisegpt-v0.3
ninyx/Phi-3-mini-128k-instruct-advisegpt-v0.3
Phi-3-mini-128k-instruct-advisegpt-v0.3 is a machine learning model from ninyx. 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 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
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jun 10, 2024
- Updated
- Jun 11, 2024
- SHA
- 14201faa
Base models
Datasets
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. -->
Phi-3-mini-128k-instruct-advisegpt-v0.3
This model is a fine-tuned version of microsoft/Phi-3-mini-128k-instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 1.6513
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: 2e-05
- train_batch_size: 14
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 30
- total_train_batch_size: 420
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.838 | 0.9633 | 14 | 1.7877 |
| 1.5618 | 1.9954 | 29 | 1.6674 |
| 1.4944 | 2.8899 | 42 | 1.6513 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.2
- Pytorch 2.2.0
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- mit
- Created
- Jun 10, 2024
- Updated
- Jun 11, 2024