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fine-tuning-Phi2-with-webglm-qa-with-lora

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fine-tuning-Phi2-with-webglm-qa-with-lora

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Files changed (4) hide show
  1. README.md +33 -23
  2. adapter_config.json +3 -3
  3. adapter_model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.2084
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  ## Model description
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@@ -43,34 +43,44 @@ The following hyperparameters were used during training:
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  - total_train_batch_size: 10
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 20
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- - training_steps: 200
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 0.2 | 10 | 7.3955 |
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- | 7.0321 | 0.4 | 20 | 2.6772 |
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- | 7.0321 | 0.6 | 30 | 0.5779 |
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- | 0.751 | 0.8 | 40 | 0.5021 |
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- | 0.751 | 1.0 | 50 | 0.4501 |
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- | 0.3719 | 1.2 | 60 | 0.4067 |
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- | 0.3719 | 1.39 | 70 | 0.3655 |
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- | 0.3398 | 1.59 | 80 | 0.3302 |
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- | 0.3398 | 1.79 | 90 | 0.3029 |
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- | 0.2285 | 1.99 | 100 | 0.2831 |
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- | 0.2285 | 2.19 | 110 | 0.2666 |
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- | 0.2156 | 2.39 | 120 | 0.2549 |
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- | 0.2156 | 2.59 | 130 | 0.2435 |
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- | 0.2049 | 2.79 | 140 | 0.2324 |
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- | 0.2049 | 2.99 | 150 | 0.2246 |
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- | 0.177 | 3.19 | 160 | 0.2197 |
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- | 0.177 | 3.39 | 170 | 0.2149 |
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- | 0.1745 | 3.59 | 180 | 0.2112 |
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- | 0.1745 | 3.78 | 190 | 0.2091 |
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- | 0.1742 | 3.98 | 200 | 0.2084 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1475
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  ## Model description
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  - total_train_batch_size: 10
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 30
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+ - training_steps: 300
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  - mixed_precision_training: Native AMP
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 0.2 | 10 | 7.7121 |
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+ | 7.4808 | 0.4 | 20 | 4.3398 |
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+ | 7.4808 | 0.6 | 30 | 0.6362 |
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+ | 1.5296 | 0.8 | 40 | 0.5285 |
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+ | 1.5296 | 1.0 | 50 | 0.4668 |
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+ | 0.3883 | 1.2 | 60 | 0.4194 |
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+ | 0.3883 | 1.39 | 70 | 0.3737 |
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+ | 0.3482 | 1.59 | 80 | 0.3338 |
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+ | 0.3482 | 1.79 | 90 | 0.3036 |
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+ | 0.2296 | 1.99 | 100 | 0.2802 |
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+ | 0.2296 | 2.19 | 110 | 0.2595 |
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+ | 0.212 | 2.39 | 120 | 0.2452 |
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+ | 0.212 | 2.59 | 130 | 0.2307 |
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+ | 0.1943 | 2.79 | 140 | 0.2145 |
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+ | 0.1943 | 2.99 | 150 | 0.2031 |
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+ | 0.1635 | 3.19 | 160 | 0.1957 |
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+ | 0.1635 | 3.39 | 170 | 0.1857 |
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+ | 0.1543 | 3.59 | 180 | 0.1788 |
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+ | 0.1543 | 3.78 | 190 | 0.1732 |
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+ | 0.1492 | 3.98 | 200 | 0.1687 |
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+ | 0.1492 | 4.18 | 210 | 0.1650 |
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+ | 0.1327 | 4.38 | 220 | 0.1632 |
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+ | 0.1327 | 4.58 | 230 | 0.1597 |
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+ | 0.1359 | 4.78 | 240 | 0.1552 |
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+ | 0.1359 | 4.98 | 250 | 0.1522 |
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+ | 0.1367 | 5.18 | 260 | 0.1506 |
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+ | 0.1367 | 5.38 | 270 | 0.1495 |
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+ | 0.1204 | 5.58 | 280 | 0.1484 |
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+ | 0.1204 | 5.78 | 290 | 0.1477 |
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+ | 0.125 | 5.98 | 300 | 0.1475 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -19,12 +19,12 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
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- "q_proj",
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- "fc1",
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  "k_proj",
 
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  "v_proj",
 
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  "dense",
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- "fc2"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
 
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
 
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  "k_proj",
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+ "q_proj",
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  "v_proj",
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+ "fc2",
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  "dense",
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+ "fc1"
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  ],
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  "task_type": "CAUSAL_LM"
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  }
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