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--- |
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tags: |
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- generated_from_keras_callback |
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model-index: |
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- name: distilgpt_new3_0060 |
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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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# distilgpt_new3_0060 |
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This model was trained from scratch on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Train Loss: 2.5002 |
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- Validation Loss: 2.3821 |
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- Epoch: 59 |
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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': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, '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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| 2.5407 | 2.4254 | 0 | |
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| 2.5399 | 2.4247 | 1 | |
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| 2.5391 | 2.4238 | 2 | |
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| 2.5383 | 2.4232 | 3 | |
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| 2.5375 | 2.4210 | 4 | |
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| 2.5368 | 2.4210 | 5 | |
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| 2.5361 | 2.4197 | 6 | |
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| 2.5353 | 2.4193 | 7 | |
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| 2.5345 | 2.4191 | 8 | |
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| 2.5339 | 2.4177 | 9 | |
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| 2.5332 | 2.4188 | 10 | |
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| 2.5324 | 2.4160 | 11 | |
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| 2.5317 | 2.4164 | 12 | |
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| 2.5309 | 2.4145 | 13 | |
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| 2.5302 | 2.4153 | 14 | |
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| 2.5295 | 2.4139 | 15 | |
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| 2.5288 | 2.4134 | 16 | |
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| 2.5282 | 2.4123 | 17 | |
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| 2.5274 | 2.4116 | 18 | |
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| 2.5267 | 2.4110 | 19 | |
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| 2.5259 | 2.4106 | 20 | |
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| 2.5251 | 2.4097 | 21 | |
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| 2.5244 | 2.4074 | 22 | |
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| 2.5238 | 2.4078 | 23 | |
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| 2.5232 | 2.4072 | 24 | |
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| 2.5223 | 2.4062 | 25 | |
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| 2.5217 | 2.4054 | 26 | |
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| 2.5211 | 2.4057 | 27 | |
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| 2.5204 | 2.4044 | 28 | |
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| 2.5197 | 2.4026 | 29 | |
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| 2.5189 | 2.4017 | 30 | |
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| 2.5182 | 2.4026 | 31 | |
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| 2.5176 | 2.4012 | 32 | |
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| 2.5168 | 2.4013 | 33 | |
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| 2.5161 | 2.3990 | 34 | |
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| 2.5154 | 2.3999 | 35 | |
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| 2.5149 | 2.3978 | 36 | |
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| 2.5142 | 2.3981 | 37 | |
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| 2.5135 | 2.3981 | 38 | |
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| 2.5130 | 2.3972 | 39 | |
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| 2.5123 | 2.3957 | 40 | |
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| 2.5116 | 2.3940 | 41 | |
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| 2.5108 | 2.3933 | 42 | |
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| 2.5103 | 2.3927 | 43 | |
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| 2.5095 | 2.3923 | 44 | |
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| 2.5090 | 2.3918 | 45 | |
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| 2.5083 | 2.3914 | 46 | |
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| 2.5078 | 2.3905 | 47 | |
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| 2.5070 | 2.3888 | 48 | |
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| 2.5062 | 2.3894 | 49 | |
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| 2.5058 | 2.3898 | 50 | |
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| 2.5051 | 2.3868 | 51 | |
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| 2.5045 | 2.3873 | 52 | |
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| 2.5041 | 2.3872 | 53 | |
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| 2.5035 | 2.3859 | 54 | |
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| 2.5027 | 2.3850 | 55 | |
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| 2.5020 | 2.3851 | 56 | |
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| 2.5016 | 2.3833 | 57 | |
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| 2.5009 | 2.3816 | 58 | |
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| 2.5002 | 2.3821 | 59 | |
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### Framework versions |
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- Transformers 4.20.1 |
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- TensorFlow 2.8.2 |
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- Datasets 2.3.2 |
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- Tokenizers 0.12.1 |
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