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v1_phi4_mini_bs1x2x2_lr1e4_dora32_64do60_4ep_final_lora
haqishen/v1_phi4_mini_bs1x2x2_lr1e4_dora32_64do60_4ep_final_lora
v1_phi4_mini_bs1x2x2_lr1e4_dora32_64do60_4ep_final_lora is a machine learning model from haqishen. 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 other.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- other
- Access
- Public
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025
- SHA
- ce427d3b
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. -->
v1_phi4_mini_bs1x2x2_lr1e4_dora32_64do60_4ep_final
This model is a fine-tuned version of microsoft/Phi-4-mini-instruct on the flock-task17-train and the flock-task17-valid datasets. It achieves the following results on the evaluation set:
- Loss: 1.2602
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: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- total_eval_batch_size: 2
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.7813 | 0.3846 | 10 | 1.8080 |
| 1.6919 | 0.7692 | 20 | 1.6251 |
| 1.5266 | 1.1538 | 30 | 1.4772 |
| 1.4874 | 1.5385 | 40 | 1.4146 |
| 1.4933 | 1.9231 | 50 | 1.3560 |
| 1.3513 | 2.3077 | 60 | 1.3297 |
| 1.2993 | 2.6923 | 70 | 1.2978 |
| 1.3504 | 3.0769 | 80 | 1.2755 |
| 1.3227 | 3.4615 | 90 | 1.2665 |
| 1.2401 | 3.8462 | 100 | 1.2614 |
Framework versions
- PEFT 0.15.1
- Transformers 4.52.4
- Pytorch 2.9.1+cu128
- Datasets 3.5.0
- Tokenizers 0.21.4
- Library
- peft
- License
- other
- Created
- Dec 27, 2025
- Updated
- Dec 27, 2025