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yunaseo
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emotions_google_gemma

PEFT
Safetensors
gemma
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yunaseo/google_gemma_qlora_emotion_detection

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Files changed (4) hide show
  1. README.md +28 -28
  2. adapter_config.json +5 -5
  3. adapter_model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,10 +18,10 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [google/gemma-1.1-2b-it](https://huggingface.co/google/gemma-1.1-2b-it) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4792
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- - F1 Micro: 0.6970
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- - F1 Macro: 0.6089
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- - Accuracy: 0.2104
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  ## Model description
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@@ -54,30 +54,30 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:--------:|
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- | 0.7081 | 0.2067 | 20 | 0.6048 | 0.6244 | 0.5113 | 0.1528 |
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- | 0.5228 | 0.4134 | 40 | 0.5096 | 0.6713 | 0.5815 | 0.1883 |
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- | 0.5048 | 0.6202 | 60 | 0.4928 | 0.7002 | 0.5865 | 0.2155 |
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- | 0.5129 | 0.8269 | 80 | 0.4792 | 0.6970 | 0.6089 | 0.2104 |
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- | 0.4842 | 1.0336 | 100 | 0.4801 | 0.6972 | 0.6023 | 0.2369 |
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- | 0.3372 | 1.2403 | 120 | 0.5545 | 0.6687 | 0.5877 | 0.1761 |
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- | 0.3302 | 1.4470 | 140 | 0.5374 | 0.6895 | 0.6020 | 0.2019 |
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- | 0.3342 | 1.6537 | 160 | 0.5330 | 0.6860 | 0.5993 | 0.2117 |
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- | 0.3392 | 1.8605 | 180 | 0.5190 | 0.6894 | 0.5913 | 0.2006 |
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- | 0.2844 | 2.0672 | 200 | 0.5853 | 0.6891 | 0.5819 | 0.2369 |
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- | 0.1458 | 2.2739 | 220 | 0.7038 | 0.6743 | 0.5749 | 0.2097 |
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- | 0.1508 | 2.4806 | 240 | 0.6808 | 0.6802 | 0.5834 | 0.1994 |
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- | 0.1481 | 2.6873 | 260 | 0.7026 | 0.6773 | 0.5721 | 0.2 |
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- | 0.1378 | 2.8941 | 280 | 0.7336 | 0.6790 | 0.5768 | 0.2162 |
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- | 0.0961 | 3.1008 | 300 | 0.8397 | 0.6709 | 0.5465 | 0.2272 |
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- | 0.0552 | 3.3075 | 320 | 0.8260 | 0.6743 | 0.5654 | 0.2168 |
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- | 0.0509 | 3.5142 | 340 | 0.8692 | 0.6777 | 0.5666 | 0.2233 |
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- | 0.0489 | 3.7209 | 360 | 0.8505 | 0.6874 | 0.5722 | 0.2388 |
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- | 0.0526 | 3.9276 | 380 | 0.8269 | 0.6842 | 0.5778 | 0.2233 |
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- | 0.0278 | 4.1344 | 400 | 0.9280 | 0.6813 | 0.5557 | 0.2414 |
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- | 0.0187 | 4.3411 | 420 | 0.9390 | 0.6829 | 0.5588 | 0.2382 |
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- | 0.0169 | 4.5478 | 440 | 0.9510 | 0.6834 | 0.5612 | 0.2485 |
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- | 0.0158 | 4.7545 | 460 | 0.9325 | 0.6819 | 0.5612 | 0.2427 |
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- | 0.0161 | 4.9612 | 480 | 0.9311 | 0.6822 | 0.5634 | 0.2440 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [google/gemma-1.1-2b-it](https://huggingface.co/google/gemma-1.1-2b-it) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4858
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+ - F1 Micro: 0.6961
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+ - F1 Macro: 0.6067
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+ - Accuracy: 0.2369
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 Micro | F1 Macro | Accuracy |
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  |:-------------:|:------:|:----:|:---------------:|:--------:|:--------:|:--------:|
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+ | 0.7307 | 0.2067 | 20 | 0.6081 | 0.6151 | 0.4711 | 0.1709 |
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+ | 0.5276 | 0.4134 | 40 | 0.5106 | 0.6760 | 0.5729 | 0.1676 |
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+ | 0.5081 | 0.6202 | 60 | 0.4978 | 0.6922 | 0.5857 | 0.2006 |
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+ | 0.5091 | 0.8269 | 80 | 0.4853 | 0.6908 | 0.6038 | 0.2052 |
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+ | 0.4823 | 1.0336 | 100 | 0.4858 | 0.6961 | 0.6067 | 0.2369 |
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+ | 0.3346 | 1.2403 | 120 | 0.5500 | 0.6663 | 0.5728 | 0.1702 |
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+ | 0.3245 | 1.4470 | 140 | 0.5440 | 0.6816 | 0.5819 | 0.2052 |
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+ | 0.3375 | 1.6537 | 160 | 0.5541 | 0.6808 | 0.5853 | 0.1987 |
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+ | 0.3407 | 1.8605 | 180 | 0.5275 | 0.6875 | 0.5872 | 0.1916 |
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+ | 0.2745 | 2.0672 | 200 | 0.6019 | 0.6928 | 0.5784 | 0.2311 |
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+ | 0.1312 | 2.2739 | 220 | 0.7540 | 0.6750 | 0.5614 | 0.2097 |
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+ | 0.1363 | 2.4806 | 240 | 0.7292 | 0.6805 | 0.5712 | 0.2078 |
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+ | 0.1302 | 2.6873 | 260 | 0.7316 | 0.6846 | 0.5795 | 0.2045 |
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+ | 0.125 | 2.8941 | 280 | 0.7491 | 0.6819 | 0.5711 | 0.2104 |
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+ | 0.0877 | 3.1008 | 300 | 0.8069 | 0.6805 | 0.5651 | 0.2330 |
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+ | 0.0457 | 3.3075 | 320 | 0.8849 | 0.6867 | 0.5592 | 0.2356 |
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+ | 0.0453 | 3.5142 | 340 | 0.8583 | 0.6774 | 0.5626 | 0.2246 |
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+ | 0.0429 | 3.7209 | 360 | 0.8338 | 0.6812 | 0.5675 | 0.2227 |
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+ | 0.0463 | 3.9276 | 380 | 0.8497 | 0.6823 | 0.5735 | 0.2272 |
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+ | 0.0256 | 4.1344 | 400 | 0.9236 | 0.6759 | 0.5607 | 0.2278 |
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+ | 0.0155 | 4.3411 | 420 | 0.9380 | 0.6871 | 0.5651 | 0.2421 |
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+ | 0.0127 | 4.5478 | 440 | 0.9505 | 0.6852 | 0.5646 | 0.2414 |
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+ | 0.0129 | 4.7545 | 460 | 0.9438 | 0.6837 | 0.5658 | 0.2382 |
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+ | 0.0123 | 4.9612 | 480 | 0.9431 | 0.6843 | 0.5666 | 0.2401 |
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  ### Framework versions
adapter_config.json CHANGED
@@ -20,14 +20,14 @@
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  "rank_pattern": {},
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  "revision": null,
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  "target_modules": [
 
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  "gate_proj",
 
 
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  "q_proj",
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- "v_proj",
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  "down_proj",
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- "up_proj",
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- "score",
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- "o_proj",
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- "k_proj"
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  ],
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  "task_type": "SEQ_CLS",
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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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+ "v_proj",
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  "gate_proj",
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+ "o_proj",
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+ "score",
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  "q_proj",
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+ "k_proj",
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  "down_proj",
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+ "up_proj"
 
 
 
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  ],
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  "task_type": "SEQ_CLS",
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  "use_dora": false,
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training_args.bin CHANGED
@@ -1,3 +1,3 @@
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