File size: 3,610 Bytes
81ada8c 5b1343c 81ada8c 5b1343c eeff905 5b1343c 081a670 1d5c53a b3ca690 1816f03 ee637f7 0c4d280 f60fe1e 44ae962 1404aa2 7b13440 7b04c8b b41bd56 d4b540e 108e58c b77dc94 3633e85 74a05de d12da3c d97bea7 4eb6c9c d189d1e f0888cb 1f86cd1 d88545f 93b1062 fd8e6f9 139fa28 19aed88 916c746 2489363 4f42d49 e41ddc9 dc7490f 45c131c eeff905 5b1343c |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 |
---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_keras_callback
model-index:
- name: sevvalkapcak/newModel2
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. -->
# sevvalkapcak/newModel2
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 0.0158
- Validation Loss: 0.4239
- Train Accuracy: 0.933
- Epoch: 35
## 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': 5e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Train Accuracy | Epoch |
|:----------:|:---------------:|:--------------:|:-----:|
| 0.2465 | 0.2029 | 0.9085 | 0 |
| 0.1354 | 0.1302 | 0.939 | 1 |
| 0.1121 | 0.1588 | 0.934 | 2 |
| 0.0945 | 0.1551 | 0.937 | 3 |
| 0.0815 | 0.1696 | 0.939 | 4 |
| 0.0778 | 0.1647 | 0.932 | 5 |
| 0.0522 | 0.2356 | 0.931 | 6 |
| 0.0444 | 0.2861 | 0.9335 | 7 |
| 0.0329 | 0.2144 | 0.9355 | 8 |
| 0.0290 | 0.2548 | 0.935 | 9 |
| 0.0222 | 0.2866 | 0.93 | 10 |
| 0.0256 | 0.2787 | 0.9385 | 11 |
| 0.0267 | 0.2764 | 0.941 | 12 |
| 0.0201 | 0.2888 | 0.9315 | 13 |
| 0.0221 | 0.2737 | 0.934 | 14 |
| 0.0174 | 0.4403 | 0.93 | 15 |
| 0.0170 | 0.2836 | 0.932 | 16 |
| 0.0214 | 0.3033 | 0.9375 | 17 |
| 0.0125 | 0.3894 | 0.934 | 18 |
| 0.0271 | 0.3687 | 0.9305 | 19 |
| 0.0154 | 0.3817 | 0.9305 | 20 |
| 0.0149 | 0.4736 | 0.93 | 21 |
| 0.0196 | 0.4435 | 0.9325 | 22 |
| 0.0124 | 0.4873 | 0.929 | 23 |
| 0.0157 | 0.4008 | 0.932 | 24 |
| 0.0153 | 0.4074 | 0.931 | 25 |
| 0.0176 | 0.3996 | 0.9295 | 26 |
| 0.0160 | 0.3652 | 0.9355 | 27 |
| 0.0081 | 0.4446 | 0.934 | 28 |
| 0.0098 | 0.5249 | 0.934 | 29 |
| 0.0151 | 0.4112 | 0.937 | 30 |
| 0.0124 | 0.4888 | 0.929 | 31 |
| 0.0146 | 0.5022 | 0.9325 | 32 |
| 0.0130 | 0.5585 | 0.9305 | 33 |
| 0.0102 | 0.4304 | 0.935 | 34 |
| 0.0158 | 0.4239 | 0.933 | 35 |
### Framework versions
- Transformers 4.35.2
- TensorFlow 2.15.0
- Datasets 2.16.1
- Tokenizers 0.15.1
|