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---
tags:
- generated_from_keras_callback
model-index:
- name: distilgpt_new3_0075
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. -->
# distilgpt_new3_0075
This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 2.4912
- Validation Loss: 2.3729
- Epoch: 74
## 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': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 2.5407 | 2.4254 | 0 |
| 2.5399 | 2.4247 | 1 |
| 2.5391 | 2.4238 | 2 |
| 2.5383 | 2.4232 | 3 |
| 2.5375 | 2.4210 | 4 |
| 2.5368 | 2.4210 | 5 |
| 2.5361 | 2.4197 | 6 |
| 2.5353 | 2.4193 | 7 |
| 2.5345 | 2.4191 | 8 |
| 2.5339 | 2.4177 | 9 |
| 2.5332 | 2.4188 | 10 |
| 2.5324 | 2.4160 | 11 |
| 2.5317 | 2.4164 | 12 |
| 2.5309 | 2.4145 | 13 |
| 2.5302 | 2.4153 | 14 |
| 2.5295 | 2.4139 | 15 |
| 2.5288 | 2.4134 | 16 |
| 2.5282 | 2.4123 | 17 |
| 2.5274 | 2.4116 | 18 |
| 2.5267 | 2.4110 | 19 |
| 2.5259 | 2.4106 | 20 |
| 2.5251 | 2.4097 | 21 |
| 2.5244 | 2.4074 | 22 |
| 2.5238 | 2.4078 | 23 |
| 2.5232 | 2.4072 | 24 |
| 2.5223 | 2.4062 | 25 |
| 2.5217 | 2.4054 | 26 |
| 2.5211 | 2.4057 | 27 |
| 2.5204 | 2.4044 | 28 |
| 2.5197 | 2.4026 | 29 |
| 2.5189 | 2.4017 | 30 |
| 2.5182 | 2.4026 | 31 |
| 2.5176 | 2.4012 | 32 |
| 2.5168 | 2.4013 | 33 |
| 2.5161 | 2.3990 | 34 |
| 2.5154 | 2.3999 | 35 |
| 2.5149 | 2.3978 | 36 |
| 2.5142 | 2.3981 | 37 |
| 2.5135 | 2.3981 | 38 |
| 2.5130 | 2.3972 | 39 |
| 2.5123 | 2.3957 | 40 |
| 2.5116 | 2.3940 | 41 |
| 2.5108 | 2.3933 | 42 |
| 2.5103 | 2.3927 | 43 |
| 2.5095 | 2.3923 | 44 |
| 2.5090 | 2.3918 | 45 |
| 2.5083 | 2.3914 | 46 |
| 2.5078 | 2.3905 | 47 |
| 2.5070 | 2.3888 | 48 |
| 2.5062 | 2.3894 | 49 |
| 2.5058 | 2.3898 | 50 |
| 2.5051 | 2.3868 | 51 |
| 2.5045 | 2.3873 | 52 |
| 2.5041 | 2.3872 | 53 |
| 2.5035 | 2.3859 | 54 |
| 2.5027 | 2.3850 | 55 |
| 2.5020 | 2.3851 | 56 |
| 2.5016 | 2.3833 | 57 |
| 2.5009 | 2.3816 | 58 |
| 2.5002 | 2.3821 | 59 |
| 2.4995 | 2.3813 | 60 |
| 2.4990 | 2.3803 | 61 |
| 2.4984 | 2.3794 | 62 |
| 2.4977 | 2.3798 | 63 |
| 2.4971 | 2.3779 | 64 |
| 2.4964 | 2.3778 | 65 |
| 2.4959 | 2.3778 | 66 |
| 2.4954 | 2.3787 | 67 |
| 2.4947 | 2.3758 | 68 |
| 2.4942 | 2.3751 | 69 |
| 2.4935 | 2.3739 | 70 |
| 2.4929 | 2.3754 | 71 |
| 2.4923 | 2.3750 | 72 |
| 2.4918 | 2.3730 | 73 |
| 2.4912 | 2.3729 | 74 |
### Framework versions
- Transformers 4.20.1
- TensorFlow 2.8.2
- Datasets 2.3.2
- Tokenizers 0.12.1
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