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--- |
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license: mit |
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base_model: gpt2 |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: deneme_linux |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information Keras had access to. You should |
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probably proofread and complete it, then remove this comment. --> |
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# deneme_linux |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 0.6315 |
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- Validation Loss: 7.0703 |
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- Epoch: 99 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': {'module': 'transformers.optimization_tf', 'class_name': 'WarmUp', 'config': {'initial_learning_rate': 5e-05, 'decay_schedule_fn': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': -995, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'warmup_steps': 1000, 'power': 1.0, 'name': None}, 'registered_name': 'WarmUp'}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False, 'weight_decay_rate': 0.01} |
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- training_precision: float32 |
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### Training results |
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| Train Loss | Validation Loss | Epoch | |
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|:----------:|:---------------:|:-----:| |
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| 0.6331 | 7.0703 | 0 | |
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| 0.6319 | 7.0703 | 1 | |
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| 0.6283 | 7.0703 | 2 | |
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| 0.6276 | 7.0703 | 3 | |
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| 0.6295 | 7.0703 | 4 | |
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| 0.6356 | 7.0703 | 5 | |
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| 0.6282 | 7.0703 | 6 | |
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| 0.6287 | 7.0703 | 7 | |
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| 0.6309 | 7.0703 | 8 | |
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| 0.6291 | 7.0703 | 9 | |
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| 0.6320 | 7.0703 | 10 | |
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| 0.6284 | 7.0703 | 11 | |
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| 0.6333 | 7.0703 | 12 | |
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| 0.6302 | 7.0703 | 13 | |
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| 0.6346 | 7.0703 | 14 | |
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| 0.6285 | 7.0703 | 15 | |
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| 0.6248 | 7.0703 | 16 | |
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| 0.6317 | 7.0703 | 17 | |
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| 0.6291 | 7.0703 | 18 | |
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| 0.6305 | 7.0703 | 19 | |
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| 0.6321 | 7.0703 | 20 | |
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| 0.6317 | 7.0703 | 21 | |
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| 0.6274 | 7.0703 | 22 | |
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| 0.6283 | 7.0703 | 23 | |
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| 0.6359 | 7.0703 | 24 | |
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| 0.6334 | 7.0703 | 25 | |
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| 0.6306 | 7.0703 | 26 | |
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| 0.6375 | 7.0703 | 27 | |
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| 0.6267 | 7.0703 | 28 | |
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| 0.6349 | 7.0703 | 29 | |
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| 0.6298 | 7.0703 | 30 | |
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| 0.6314 | 7.0703 | 31 | |
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| 0.6347 | 7.0703 | 32 | |
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| 0.6284 | 7.0703 | 33 | |
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| 0.6300 | 7.0703 | 34 | |
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| 0.6287 | 7.0703 | 35 | |
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| 0.6337 | 7.0703 | 36 | |
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| 0.6348 | 7.0703 | 37 | |
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| 0.6297 | 7.0703 | 38 | |
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| 0.6376 | 7.0703 | 39 | |
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| 0.6340 | 7.0703 | 40 | |
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| 0.6311 | 7.0703 | 41 | |
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| 0.6327 | 7.0703 | 42 | |
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| 0.6343 | 7.0703 | 43 | |
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| 0.6297 | 7.0703 | 44 | |
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| 0.6316 | 7.0703 | 45 | |
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| 0.6302 | 7.0703 | 46 | |
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| 0.6324 | 7.0703 | 47 | |
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| 0.6355 | 7.0703 | 48 | |
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| 0.6278 | 7.0703 | 49 | |
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| 0.6324 | 7.0703 | 50 | |
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| 0.6332 | 7.0703 | 51 | |
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| 0.6294 | 7.0703 | 52 | |
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| 0.6348 | 7.0703 | 53 | |
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| 0.6288 | 7.0703 | 54 | |
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| 0.6332 | 7.0703 | 55 | |
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| 0.6334 | 7.0703 | 56 | |
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| 0.6302 | 7.0703 | 57 | |
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| 0.6287 | 7.0703 | 58 | |
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| 0.6274 | 7.0703 | 59 | |
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| 0.6272 | 7.0703 | 60 | |
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| 0.6264 | 7.0703 | 61 | |
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| 0.6298 | 7.0703 | 62 | |
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| 0.6275 | 7.0703 | 63 | |
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| 0.6315 | 7.0703 | 64 | |
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| 0.6293 | 7.0703 | 65 | |
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| 0.6325 | 7.0703 | 66 | |
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| 0.6277 | 7.0703 | 67 | |
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| 0.6292 | 7.0703 | 68 | |
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| 0.6254 | 7.0703 | 69 | |
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| 0.6351 | 7.0703 | 70 | |
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| 0.6362 | 7.0703 | 71 | |
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| 0.6312 | 7.0703 | 72 | |
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| 0.6307 | 7.0703 | 73 | |
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| 0.6260 | 7.0703 | 74 | |
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| 0.6289 | 7.0703 | 75 | |
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| 0.6333 | 7.0703 | 76 | |
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| 0.6259 | 7.0703 | 77 | |
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| 0.6270 | 7.0703 | 78 | |
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| 0.6300 | 7.0703 | 79 | |
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| 0.6321 | 7.0703 | 80 | |
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| 0.6352 | 7.0703 | 81 | |
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| 0.6283 | 7.0703 | 82 | |
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| 0.6377 | 7.0703 | 83 | |
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| 0.6291 | 7.0703 | 84 | |
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| 0.6263 | 7.0703 | 85 | |
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| 0.6302 | 7.0703 | 86 | |
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| 0.6336 | 7.0703 | 87 | |
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| 0.6326 | 7.0703 | 88 | |
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| 0.6365 | 7.0703 | 89 | |
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| 0.6328 | 7.0703 | 90 | |
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| 0.6281 | 7.0703 | 91 | |
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| 0.6360 | 7.0703 | 92 | |
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| 0.6347 | 7.0703 | 93 | |
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| 0.6318 | 7.0703 | 94 | |
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| 0.6334 | 7.0703 | 95 | |
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| 0.6349 | 7.0703 | 96 | |
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| 0.6274 | 7.0703 | 97 | |
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| 0.6266 | 7.0703 | 98 | |
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| 0.6315 | 7.0703 | 99 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- TensorFlow 2.15.0 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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