Instructions to use robertou2/task-15-microsoft-Phi-4-mini-instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use robertou2/task-15-microsoft-Phi-4-mini-instruct with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("microsoft/Phi-4-mini-instruct") model = PeftModel.from_pretrained(base_model, "robertou2/task-15-microsoft-Phi-4-mini-instruct") - Notebooks
- Google Colab
- Kaggle
Upload folder using huggingface_hub
Browse files- adapter_model.safetensors +1 -1
- optimizer.pt +1 -1
- rng_state.pth +1 -1
- scheduler.pt +1 -1
- trainer_state.json +1507 -7
adapter_model.safetensors
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optimizer.pt
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rng_state.pth
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scheduler.pt
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trainer_state.json
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{
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"best_global_step":
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"best_metric": 0.
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"best_model_checkpoint": "/content/drive/MyDrive/lora_model/outputs/task15_microsoft/Phi-4-mini-instruct/checkpoint-
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"epoch":
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"eval_steps": 1,
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"global_step":
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"is_hyper_param_search": false,
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"eval_samples_per_second": 8.883,
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"eval_steps_per_second": 1.184,
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"step": 150
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| 2261 |
}
|
| 2262 |
],
|
| 2263 |
"logging_steps": 1,
|
|
@@ -2272,12 +3772,12 @@
|
|
| 2272 |
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|
| 2273 |
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|
| 2274 |
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| 2275 |
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| 2276 |
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| 2277 |
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| 2278 |
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| 2279 |
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| 2280 |
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| 2281 |
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| 2282 |
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| 2283 |
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| 1 |
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| 2 |
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 2258 |
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| 2259 |
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| 2260 |
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| 2261 |
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| 2262 |
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| 2263 |
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| 2264 |
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| 2265 |
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| 2266 |
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| 2267 |
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| 2268 |
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| 2269 |
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| 2270 |
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| 2273 |
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| 2274 |
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| 2275 |
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| 2276 |
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| 2277 |
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| 2278 |
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| 2279 |
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| 2280 |
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| 2281 |
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| 2284 |
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| 2289 |
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| 2291 |
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| 2292 |
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| 2293 |
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| 2299 |
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| 2300 |
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