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---
license: mit
base_model: gpt2
tags:
- generated_from_keras_callback
model-index:
- name: ashishbaraiya/my-tweets-finetuned
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# ashishbaraiya/my-tweets-finetuned
This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0764
- Validation Loss: 3.1842
- Epoch: 77
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': None, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': {'module': 'keras.optimizers.schedules', 'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 5e-05, 'decay_steps': 4500, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}, 'registered_name': None}, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 9.3483 | 8.3624 | 0 |
| 7.2778 | 6.9685 | 1 |
| 5.9195 | 6.2234 | 2 |
| 5.0730 | 5.6830 | 3 |
| 4.4703 | 5.3916 | 4 |
| 3.8427 | 4.8847 | 5 |
| 3.3641 | 4.5318 | 6 |
| 2.8373 | 4.3084 | 7 |
| 2.4261 | 4.0802 | 8 |
| 2.0691 | 3.8920 | 9 |
| 1.8213 | 3.8208 | 10 |
| 1.5922 | 3.6103 | 11 |
| 1.3694 | 3.5038 | 12 |
| 1.1764 | 3.3149 | 13 |
| 1.0135 | 3.2981 | 14 |
| 0.8874 | 3.2975 | 15 |
| 0.7716 | 3.2103 | 16 |
| 0.6679 | 3.3297 | 17 |
| 0.5770 | 3.2517 | 18 |
| 0.5098 | 3.0959 | 19 |
| 0.4403 | 3.1526 | 20 |
| 0.3791 | 2.9750 | 21 |
| 0.3367 | 3.0588 | 22 |
| 0.3027 | 3.0408 | 23 |
| 0.2617 | 3.1930 | 24 |
| 0.2387 | 3.1227 | 25 |
| 0.2175 | 3.0582 | 26 |
| 0.2062 | 3.1239 | 27 |
| 0.1868 | 3.0407 | 28 |
| 0.1746 | 3.2357 | 29 |
| 0.1657 | 3.1285 | 30 |
| 0.1536 | 3.2110 | 31 |
| 0.1512 | 3.1890 | 32 |
| 0.1447 | 3.1713 | 33 |
| 0.1426 | 3.1498 | 34 |
| 0.1369 | 3.1877 | 35 |
| 0.1327 | 3.2019 | 36 |
| 0.1303 | 3.0486 | 37 |
| 0.1213 | 3.1264 | 38 |
| 0.1204 | 3.1468 | 39 |
| 0.1206 | 3.1846 | 40 |
| 0.1125 | 3.1880 | 41 |
| 0.1113 | 3.1980 | 42 |
| 0.1098 | 3.1759 | 43 |
| 0.1071 | 3.1385 | 44 |
| 0.1055 | 3.1730 | 45 |
| 0.1024 | 3.1820 | 46 |
| 0.0995 | 3.1252 | 47 |
| 0.0995 | 3.1279 | 48 |
| 0.1004 | 3.2428 | 49 |
| 0.0982 | 3.1116 | 50 |
| 0.0957 | 3.2210 | 51 |
| 0.0936 | 3.1351 | 52 |
| 0.0917 | 3.1618 | 53 |
| 0.0930 | 3.1924 | 54 |
| 0.0929 | 3.2831 | 55 |
| 0.0889 | 3.2458 | 56 |
| 0.0913 | 3.2061 | 57 |
| 0.0899 | 3.4128 | 58 |
| 0.0880 | 3.2114 | 59 |
| 0.0869 | 3.2738 | 60 |
| 0.0878 | 3.1723 | 61 |
| 0.0844 | 3.1465 | 62 |
| 0.0846 | 3.1106 | 63 |
| 0.0841 | 3.2216 | 64 |
| 0.0824 | 3.2971 | 65 |
| 0.0823 | 3.2267 | 66 |
| 0.0811 | 3.2503 | 67 |
| 0.0823 | 3.1981 | 68 |
| 0.0808 | 3.2618 | 69 |
| 0.0803 | 3.1607 | 70 |
| 0.0786 | 3.3295 | 71 |
| 0.0801 | 3.2952 | 72 |
| 0.0777 | 3.2545 | 73 |
| 0.0764 | 3.1248 | 74 |
| 0.0772 | 3.2185 | 75 |
| 0.0758 | 3.3147 | 76 |
| 0.0764 | 3.1842 | 77 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1
|