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phi-2-finetuned-labeledsbc

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  1. README.md +112 -0
  2. adapter_model.safetensors +1 -1
  3. runs/Apr03_13-58-02_e379f175409c/events.out.tfevents.1712152769.e379f175409c.34.1 +2 -2
README.md ADDED
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+ ---
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+ license: mit
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+ library_name: peft
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+ tags:
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+ - generated_from_trainer
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+ base_model: microsoft/phi-2
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+ model-index:
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+ - name: phi-2-finetuned-labeledsbc
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # phi-2-finetuned-labeledsbc
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+
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+ This model is a fine-tuned version of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.4040
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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+ - train_batch_size: 6
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+ - eval_batch_size: 6
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+ - seed: 42
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+ - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 24
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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: 2
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+ - num_epochs: 50
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.4053 | 1.0 | 6 | 3.1734 |
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+ | 2.7973 | 2.0 | 12 | 2.3825 |
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+ | 2.0487 | 3.0 | 18 | 1.8269 |
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+ | 1.6066 | 4.0 | 24 | 1.5462 |
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+ | 1.3941 | 5.0 | 30 | 1.3882 |
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+ | 1.2595 | 6.0 | 36 | 1.2367 |
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+ | 1.1104 | 7.0 | 42 | 1.1045 |
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+ | 0.988 | 8.0 | 48 | 1.0010 |
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+ | 0.8834 | 9.0 | 54 | 0.9122 |
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+ | 0.7908 | 10.0 | 60 | 0.8344 |
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+ | 0.7069 | 11.0 | 66 | 0.7794 |
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+ | 0.6332 | 12.0 | 72 | 0.7276 |
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+ | 0.5627 | 13.0 | 78 | 0.6681 |
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+ | 0.5072 | 14.0 | 84 | 0.6246 |
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+ | 0.4579 | 15.0 | 90 | 0.5930 |
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+ | 0.4278 | 16.0 | 96 | 0.5549 |
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+ | 0.3945 | 17.0 | 102 | 0.5336 |
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+ | 0.3596 | 18.0 | 108 | 0.5108 |
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+ | 0.3248 | 19.0 | 114 | 0.4835 |
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+ | 0.3066 | 20.0 | 120 | 0.4727 |
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+ | 0.2909 | 21.0 | 126 | 0.4453 |
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+ | 0.2661 | 22.0 | 132 | 0.4450 |
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+ | 0.2521 | 23.0 | 138 | 0.4278 |
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+ | 0.2474 | 24.0 | 144 | 0.4186 |
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+ | 0.2439 | 25.0 | 150 | 0.4247 |
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+ | 0.2377 | 26.0 | 156 | 0.4125 |
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+ | 0.2271 | 27.0 | 162 | 0.4085 |
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+ | 0.2144 | 28.0 | 168 | 0.4112 |
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+ | 0.2085 | 29.0 | 174 | 0.4065 |
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+ | 0.2118 | 30.0 | 180 | 0.4111 |
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+ | 0.2088 | 31.0 | 186 | 0.4080 |
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+ | 0.1983 | 32.0 | 192 | 0.4068 |
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+ | 0.1966 | 33.0 | 198 | 0.4018 |
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+ | 0.1921 | 34.0 | 204 | 0.4007 |
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+ | 0.1928 | 35.0 | 210 | 0.3933 |
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+ | 0.1893 | 36.0 | 216 | 0.3919 |
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+ | 0.185 | 37.0 | 222 | 0.3996 |
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+ | 0.1762 | 38.0 | 228 | 0.4016 |
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+ | 0.1812 | 39.0 | 234 | 0.4052 |
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+ | 0.1785 | 40.0 | 240 | 0.4008 |
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+ | 0.173 | 41.0 | 246 | 0.4009 |
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+ | 0.1748 | 42.0 | 252 | 0.4010 |
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+ | 0.1745 | 43.0 | 258 | 0.4023 |
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+ | 0.1765 | 44.0 | 264 | 0.4003 |
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+ | 0.1748 | 45.0 | 270 | 0.4014 |
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+ | 0.1809 | 46.0 | 276 | 0.4020 |
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+ | 0.1698 | 47.0 | 282 | 0.4028 |
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+ | 0.1691 | 48.0 | 288 | 0.4037 |
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+ | 0.174 | 49.0 | 294 | 0.4040 |
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+ | 0.1656 | 50.0 | 300 | 0.4040 |
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+
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+
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+ ### Framework versions
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+
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+ - PEFT 0.10.0
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+ - Transformers 4.38.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.1.0
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+ - Tokenizers 0.15.2
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