add model
Browse files- README.md +250 -0
- config.json +34 -0
- tf_model.h5 +3 -0
README.md
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| 1 |
+
---
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tags:
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- generated_from_keras_callback
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+
model-index:
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- name: gpt3_model
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results: []
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| 7 |
+
---
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| 8 |
+
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| 9 |
+
<!-- This model card has been generated automatically according to the information Keras had access to. You should
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| 10 |
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probably proofread and complete it, then remove this comment. -->
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| 11 |
+
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+
# gpt3_model
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| 13 |
+
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+
This model is a fine-tuned version of [/gdrive/MyDrive/Colab Notebooks/sw-project/SW-Project/skt-ko-gpt-trinity-1.2B-v0.5-new-2/](https://huggingface.co//gdrive/MyDrive/Colab Notebooks/sw-project/SW-Project/skt-ko-gpt-trinity-1.2B-v0.5-new-2/) on an unknown dataset.
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+
It achieves the following results on the evaluation set:
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- Train Loss: 0.7352
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- Train Lr: 9.999999e-05
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| 18 |
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- Epoch: 199
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## Model description
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| 21 |
+
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More information needed
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| 23 |
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## Intended uses & limitations
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| 25 |
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| 26 |
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More information needed
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| 27 |
+
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## Training and evaluation data
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| 29 |
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| 30 |
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More information needed
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| 31 |
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## Training procedure
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| 33 |
+
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| 34 |
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### Training hyperparameters
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| 35 |
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adagrad', 'learning_rate': 9.999999e-05, 'decay': 0.0, 'initial_accumulator_value': 0.1, 'epsilon': 1e-07}
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- training_precision: float32
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| 39 |
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| 40 |
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### Training results
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| 41 |
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| 42 |
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| Train Loss | Train Lr | Epoch |
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| 43 |
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|:----------:|:------------:|:-----:|
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| 44 |
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| 6.4573 | 0.01 | 0 |
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| 45 |
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| 6.1839 | 0.01 | 1 |
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| 46 |
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| 6.1218 | 0.01 | 2 |
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| 47 |
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| 6.0346 | 0.01 | 3 |
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| 48 |
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| 5.9561 | 0.01 | 4 |
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| 49 |
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| 5.8583 | 0.01 | 5 |
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| 50 |
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| 5.7548 | 0.01 | 6 |
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| 51 |
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| 5.6404 | 0.01 | 7 |
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| 52 |
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| 5.4922 | 0.01 | 8 |
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| 53 |
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| 5.3803 | 0.01 | 9 |
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| 54 |
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| 5.2554 | 0.01 | 10 |
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| 55 |
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| 5.1228 | 0.01 | 11 |
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| 56 |
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| 5.0244 | 0.01 | 12 |
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| 57 |
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| 4.9005 | 0.01 | 13 |
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| 58 |
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| 4.7720 | 0.01 | 14 |
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| 59 |
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| 4.6211 | 0.01 | 15 |
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| 60 |
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| 4.5311 | 0.01 | 16 |
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| 61 |
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| 4.4448 | 0.01 | 17 |
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| 62 |
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| 4.3087 | 0.01 | 18 |
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| 63 |
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| 4.2361 | 0.01 | 19 |
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| 64 |
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| 4.1088 | 0.01 | 20 |
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| 65 |
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| 4.0153 | 0.01 | 21 |
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| 66 |
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| 3.9195 | 0.01 | 22 |
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| 67 |
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| 3.8411 | 0.01 | 23 |
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| 68 |
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| 3.7300 | 0.01 | 24 |
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| 69 |
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| 3.6430 | 0.01 | 25 |
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| 3.5435 | 0.01 | 26 |
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| 3.4905 | 0.01 | 27 |
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| 3.4048 | 0.01 | 28 |
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| 73 |
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| 3.3365 | 0.01 | 29 |
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| 74 |
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| 3.2404 | 0.01 | 30 |
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| 75 |
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| 3.2009 | 0.01 | 31 |
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| 76 |
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| 3.1053 | 0.01 | 32 |
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| 77 |
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| 3.0403 | 0.01 | 33 |
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| 78 |
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| 2.9887 | 0.01 | 34 |
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| 79 |
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| 2.9240 | 0.01 | 35 |
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| 80 |
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| 2.8680 | 0.01 | 36 |
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| 81 |
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| 2.8000 | 0.01 | 37 |
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| 2.7609 | 0.01 | 38 |
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| 2.7069 | 0.01 | 39 |
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| 84 |
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| 2.6476 | 0.01 | 40 |
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| 85 |
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| 2.5793 | 0.01 | 41 |
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| 86 |
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| 2.5483 | 0.01 | 42 |
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| 87 |
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| 2.4905 | 0.01 | 43 |
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| 88 |
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| 2.4315 | 0.01 | 44 |
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| 89 |
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| 2.3970 | 0.01 | 45 |
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| 90 |
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| 2.3665 | 0.01 | 46 |
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| 91 |
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| 2.3116 | 0.01 | 47 |
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| 92 |
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| 2.2600 | 0.01 | 48 |
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| 93 |
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| 2.2116 | 0.01 | 49 |
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| 94 |
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| 2.1647 | 0.01 | 50 |
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| 95 |
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| 2.1323 | 0.01 | 51 |
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| 96 |
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| 2.0893 | 0.01 | 52 |
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| 97 |
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| 2.0366 | 0.01 | 53 |
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| 98 |
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| 2.0119 | 0.01 | 54 |
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| 99 |
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| 1.9681 | 0.01 | 55 |
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| 100 |
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| 1.9024 | 0.01 | 56 |
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| 101 |
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| 1.9008 | 0.01 | 57 |
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| 102 |
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| 1.8507 | 0.01 | 58 |
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| 1.8216 | 0.01 | 59 |
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| 104 |
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| 1.7741 | 0.01 | 60 |
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| 105 |
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| 1.7425 | 0.01 | 61 |
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| 106 |
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| 1.6867 | 0.01 | 62 |
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| 107 |
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| 1.6754 | 0.01 | 63 |
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| 108 |
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| 1.6179 | 0.01 | 64 |
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| 1.5847 | 0.01 | 65 |
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| 1.5499 | 0.01 | 66 |
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| 1.5183 | 0.01 | 67 |
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| 1.4948 | 0.01 | 68 |
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| 1.4515 | 0.01 | 69 |
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| 114 |
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| 1.4195 | 0.01 | 70 |
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| 115 |
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| 1.3916 | 0.01 | 71 |
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| 116 |
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| 1.3661 | 0.01 | 72 |
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| 117 |
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| 1.3419 | 0.01 | 73 |
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| 118 |
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| 1.3182 | 0.01 | 74 |
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| 1.2940 | 0.01 | 75 |
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| 1.2796 | 0.01 | 76 |
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| 1.2415 | 0.01 | 77 |
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| 1.2415 | 0.01 | 78 |
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| 1.2154 | 0.01 | 79 |
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| 1.1818 | 0.01 | 80 |
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| 1.1709 | 0.01 | 81 |
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| 1.1542 | 0.01 | 82 |
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| 1.1441 | 0.01 | 83 |
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| 1.1260 | 0.01 | 84 |
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| 1.1057 | 0.01 | 85 |
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| 1.0713 | 0.01 | 86 |
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| 1.0709 | 0.01 | 87 |
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| 1.0675 | 0.01 | 88 |
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| 1.0444 | 0.01 | 89 |
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| 1.0394 | 0.01 | 90 |
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| 1.0258 | 0.01 | 91 |
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| 1.0321 | 0.01 | 92 |
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| 1.0138 | 0.01 | 93 |
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| 0.9936 | 0.01 | 94 |
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| 0.9952 | 0.01 | 95 |
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| 0.9813 | 0.01 | 96 |
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| 0.9743 | 0.01 | 97 |
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| 0.9662 | 0.01 | 98 |
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| 0.9604 | 0.01 | 99 |
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| 0.8326 | 0.0009999999 | 100 |
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| 0.8196 | 0.0009999999 | 101 |
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| 0.8038 | 0.0009999999 | 102 |
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| 0.8001 | 0.0009999999 | 103 |
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| 0.7973 | 0.0009999999 | 104 |
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| 0.7976 | 0.0009999999 | 105 |
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| 0.7950 | 0.0009999999 | 106 |
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| 0.7932 | 0.0009999999 | 107 |
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| 0.7931 | 0.0009999999 | 108 |
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| 0.7844 | 0.0009999999 | 109 |
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| 0.7870 | 0.0009999999 | 110 |
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| 0.7838 | 0.0009999999 | 111 |
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| 0.7844 | 0.0009999999 | 112 |
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| 0.7845 | 0.0009999999 | 113 |
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| 0.7800 | 0.0009999999 | 114 |
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| 0.7819 | 0.0009999999 | 115 |
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| 0.7794 | 0.0009999999 | 116 |
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| 0.7766 | 0.0009999999 | 117 |
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| 0.7748 | 0.0009999999 | 118 |
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| 0.7759 | 0.0009999999 | 119 |
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| 0.7735 | 0.0009999999 | 120 |
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| 0.7794 | 0.0009999999 | 121 |
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| 0.7710 | 0.0009999999 | 122 |
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| 0.7779 | 0.0009999999 | 123 |
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| 0.7762 | 0.0009999999 | 124 |
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| 0.7646 | 0.0009999999 | 125 |
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| 0.7683 | 0.0009999999 | 126 |
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| 0.7710 | 0.0009999999 | 127 |
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| 0.7700 | 0.0009999999 | 128 |
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| 0.7713 | 0.0009999999 | 130 |
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| 0.7690 | 0.0009999999 | 131 |
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| 0.7725 | 0.0009999999 | 133 |
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| 0.7656 | 0.0009999999 | 135 |
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| 0.7658 | 0.0009999999 | 136 |
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| 0.7626 | 0.0009999999 | 137 |
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| 0.7640 | 0.0009999999 | 138 |
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| 0.7637 | 0.0009999999 | 139 |
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| 0.7562 | 0.0009999999 | 140 |
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| 0.7662 | 0.0009999999 | 141 |
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| 0.7611 | 0.0009999999 | 142 |
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| 0.7649 | 0.0009999999 | 144 |
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| 0.7602 | 0.0009999999 | 145 |
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| 0.7592 | 0.0009999999 | 146 |
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| 0.7560 | 0.0009999999 | 150 |
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| 0.7459 | 0.0009999999 | 168 |
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| 0.7462 | 0.0009999999 | 174 |
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| 0.7362 | 9.999999e-05 | 175 |
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| 0.7333 | 9.999999e-05 | 176 |
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| 0.7316 | 9.999999e-05 | 177 |
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| 0.7349 | 9.999999e-05 | 178 |
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| 0.7379 | 9.999999e-05 | 179 |
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| 0.7323 | 9.999999e-05 | 180 |
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| 0.7293 | 9.999999e-05 | 181 |
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| 0.7368 | 9.999999e-05 | 182 |
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| 0.7349 | 9.999999e-05 | 183 |
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| 0.7355 | 9.999999e-05 | 184 |
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| 0.7322 | 9.999999e-05 | 185 |
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| 0.7333 | 9.999999e-05 | 186 |
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| 0.7326 | 9.999999e-05 | 187 |
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| 0.7334 | 9.999999e-05 | 188 |
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| 0.7344 | 9.999999e-05 | 189 |
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| 0.7329 | 9.999999e-05 | 190 |
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| 235 |
+
| 0.7338 | 9.999999e-05 | 191 |
|
| 236 |
+
| 0.7342 | 9.999999e-05 | 192 |
|
| 237 |
+
| 0.7362 | 9.999999e-05 | 193 |
|
| 238 |
+
| 0.7339 | 9.999999e-05 | 194 |
|
| 239 |
+
| 0.7343 | 9.999999e-05 | 195 |
|
| 240 |
+
| 0.7302 | 9.999999e-05 | 196 |
|
| 241 |
+
| 0.7376 | 9.999999e-05 | 197 |
|
| 242 |
+
| 0.7380 | 9.999999e-05 | 198 |
|
| 243 |
+
| 0.7352 | 9.999999e-05 | 199 |
|
| 244 |
+
|
| 245 |
+
|
| 246 |
+
### Framework versions
|
| 247 |
+
|
| 248 |
+
- Transformers 4.21.3
|
| 249 |
+
- TensorFlow 2.8.2
|
| 250 |
+
- Tokenizers 0.12.1
|
config.json
ADDED
|
@@ -0,0 +1,34 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "/gdrive/MyDrive/Colab Notebooks/sw-project/SW-Project/skt-ko-gpt-trinity-1.2B-v0.5-new-2/",
|
| 3 |
+
"activation_function": "gelu_new",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"GPT2LMHeadModel"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"bos_token_id": 0,
|
| 9 |
+
"embd_pdrop": 0.1,
|
| 10 |
+
"eos_token_id": 8,
|
| 11 |
+
"gradient_checkpointing": false,
|
| 12 |
+
"initializer_range": 0.02,
|
| 13 |
+
"layer_norm_epsilon": 1e-05,
|
| 14 |
+
"model_type": "gpt2",
|
| 15 |
+
"n_ctx": 1024,
|
| 16 |
+
"n_embd": 1920,
|
| 17 |
+
"n_head": 16,
|
| 18 |
+
"n_inner": 7680,
|
| 19 |
+
"n_layer": 24,
|
| 20 |
+
"n_positions": 1024,
|
| 21 |
+
"pad_token_id": 8,
|
| 22 |
+
"reorder_and_upcast_attn": false,
|
| 23 |
+
"resid_pdrop": 0.1,
|
| 24 |
+
"scale_attn_by_inverse_layer_idx": false,
|
| 25 |
+
"scale_attn_weights": true,
|
| 26 |
+
"summary_activation": null,
|
| 27 |
+
"summary_first_dropout": 0.1,
|
| 28 |
+
"summary_proj_to_labels": true,
|
| 29 |
+
"summary_type": "cls_index",
|
| 30 |
+
"summary_use_proj": true,
|
| 31 |
+
"transformers_version": "4.21.3",
|
| 32 |
+
"use_cache": true,
|
| 33 |
+
"vocab_size": 51200
|
| 34 |
+
}
|
tf_model.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8535cae8df9a846d7251714af84af0809b16b55710cafbb775d4828f77d82f41
|
| 3 |
+
size 4650580080
|