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phi-3-mini-LoRA

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Safetensors
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HuggingFaceUser/adapter-name

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  1. README.md +29 -54
  2. adapter_config.json +5 -5
  3. adapter_model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.8252
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  ## Model description
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@@ -53,59 +53,34 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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- | 1.0774 | 0.0558 | 100 | 1.0228 |
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- | 0.9983 | 0.1117 | 200 | 0.9202 |
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- | 0.9227 | 0.1675 | 300 | 0.8962 |
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- | 0.8892 | 0.2234 | 400 | 0.8891 |
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- | 0.8833 | 0.2792 | 500 | 0.8780 |
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- | 0.9019 | 0.3351 | 600 | 0.8726 |
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- | 0.879 | 0.3909 | 700 | 0.8685 |
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- | 0.8604 | 0.4467 | 800 | 0.8648 |
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- | 0.8793 | 0.5026 | 900 | 0.8613 |
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- | 0.8608 | 0.5584 | 1000 | 0.8586 |
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- | 0.863 | 0.6143 | 1100 | 0.8564 |
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- | 0.8464 | 0.6701 | 1200 | 0.8538 |
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- | 0.88 | 0.7260 | 1300 | 0.8514 |
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- | 0.8533 | 0.7818 | 1400 | 0.8498 |
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- | 0.8532 | 0.8376 | 1500 | 0.8488 |
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- | 0.871 | 0.8935 | 1600 | 0.8468 |
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- | 0.8546 | 0.9493 | 1700 | 0.8456 |
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- | 0.853 | 1.0052 | 1800 | 0.8437 |
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- | 0.8427 | 1.0610 | 1900 | 0.8437 |
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- | 0.834 | 1.1169 | 2000 | 0.8423 |
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- | 0.8443 | 1.1727 | 2100 | 0.8410 |
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- | 0.8487 | 1.2285 | 2200 | 0.8401 |
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- | 0.8257 | 1.2844 | 2300 | 0.8387 |
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- | 0.835 | 1.3402 | 2400 | 0.8382 |
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- | 0.8331 | 1.3961 | 2500 | 0.8375 |
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- | 0.8369 | 1.4519 | 2600 | 0.8363 |
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- | 0.8209 | 1.5077 | 2700 | 0.8352 |
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- | 0.8443 | 1.5636 | 2800 | 0.8350 |
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- | 0.8505 | 1.6194 | 2900 | 0.8352 |
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- | 0.8284 | 1.6753 | 3000 | 0.8339 |
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- | 0.8544 | 1.7311 | 3100 | 0.8325 |
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- | 0.8429 | 1.7870 | 3200 | 0.8321 |
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- | 0.8223 | 1.8428 | 3300 | 0.8312 |
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- | 0.8259 | 1.8986 | 3400 | 0.8303 |
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- | 0.8379 | 1.9545 | 3500 | 0.8300 |
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- | 0.8407 | 2.0103 | 3600 | 0.8294 |
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- | 0.8331 | 2.0662 | 3700 | 0.8294 |
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- | 0.8279 | 2.1220 | 3800 | 0.8294 |
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- | 0.8321 | 2.1779 | 3900 | 0.8289 |
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- | 0.819 | 2.2337 | 4000 | 0.8284 |
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- | 0.8289 | 2.2895 | 4100 | 0.8277 |
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- | 0.8222 | 2.3454 | 4200 | 0.8275 |
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- | 0.8039 | 2.4012 | 4300 | 0.8273 |
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- | 0.8015 | 2.4571 | 4400 | 0.8271 |
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- | 0.8148 | 2.5129 | 4500 | 0.8267 |
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- | 0.8217 | 2.5688 | 4600 | 0.8263 |
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- | 0.8005 | 2.6246 | 4700 | 0.8262 |
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- | 0.8146 | 2.6804 | 4800 | 0.8258 |
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- | 0.8229 | 2.7363 | 4900 | 0.8258 |
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- | 0.8266 | 2.7921 | 5000 | 0.8256 |
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- | 0.8222 | 2.8480 | 5100 | 0.8254 |
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- | 0.8238 | 2.9038 | 5200 | 0.8253 |
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- | 0.8296 | 2.9597 | 5300 | 0.8252 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/Phi-3-mini-4k-instruct](https://huggingface.co/microsoft/Phi-3-mini-4k-instruct) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.8588
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:------:|:----:|:---------------:|
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+ | 1.0606 | 0.1071 | 100 | 1.0032 |
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+ | 0.9107 | 0.2141 | 200 | 0.9256 |
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+ | 0.8783 | 0.3212 | 300 | 0.9081 |
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+ | 0.8761 | 0.4283 | 400 | 0.8986 |
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+ | 0.8651 | 0.5353 | 500 | 0.8920 |
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+ | 0.864 | 0.6424 | 600 | 0.8875 |
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+ | 0.8759 | 0.7495 | 700 | 0.8828 |
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+ | 0.8584 | 0.8565 | 800 | 0.8807 |
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+ | 0.8677 | 0.9636 | 900 | 0.8784 |
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+ | 0.8507 | 1.0707 | 1000 | 0.8757 |
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+ | 0.8499 | 1.1777 | 1100 | 0.8739 |
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+ | 0.8446 | 1.2848 | 1200 | 0.8718 |
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+ | 0.8637 | 1.3919 | 1300 | 0.8712 |
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+ | 0.8238 | 1.4989 | 1400 | 0.8686 |
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+ | 0.8231 | 1.6060 | 1500 | 0.8681 |
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+ | 0.8361 | 1.7131 | 1600 | 0.8661 |
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+ | 0.8319 | 1.8201 | 1700 | 0.8652 |
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+ | 0.8166 | 1.9272 | 1800 | 0.8643 |
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+ | 0.8312 | 2.0343 | 1900 | 0.8634 |
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+ | 0.834 | 2.1413 | 2000 | 0.8625 |
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+ | 0.8362 | 2.2484 | 2100 | 0.8616 |
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+ | 0.8413 | 2.3555 | 2200 | 0.8611 |
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+ | 0.8153 | 2.4625 | 2300 | 0.8605 |
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+ | 0.8235 | 2.5696 | 2400 | 0.8607 |
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+ | 0.7958 | 2.6767 | 2500 | 0.8598 |
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+ | 0.8137 | 2.7837 | 2600 | 0.8593 |
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+ | 0.8162 | 2.8908 | 2700 | 0.8591 |
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+ | 0.8317 | 2.9979 | 2800 | 0.8588 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,13 +20,13 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "up_proj",
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- "gate_proj",
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- "v_proj",
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  "o_proj",
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- "k_proj",
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  "down_proj",
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- "q_proj"
 
 
 
 
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
 
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  "o_proj",
 
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  "down_proj",
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+ "k_proj",
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+ "q_proj",
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+ "gate_proj",
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+ "v_proj",
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+ "up_proj"
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  ],
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  "task_type": "CAUSAL_LM",
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  "use_dora": false,
adapter_model.safetensors CHANGED
@@ -1,3 +1,3 @@
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  size 35668592
 
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  size 35668592
training_args.bin CHANGED
@@ -1,3 +1,3 @@
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  size 5432
 
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