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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_new2_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_new2_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: 2.5626 |
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- Validation Loss: 2.4481 |
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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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| 2.6241 | 2.5129 | 0 | |
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| 2.6228 | 2.5112 | 1 | |
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| 2.6216 | 2.5105 | 2 | |
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| 2.6204 | 2.5101 | 3 | |
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| 2.6191 | 2.5088 | 4 | |
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| 2.6180 | 2.5064 | 5 | |
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| 2.6166 | 2.5045 | 6 | |
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| 2.6155 | 2.5038 | 7 | |
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| 2.6143 | 2.5024 | 8 | |
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| 2.6132 | 2.5009 | 9 | |
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| 2.6120 | 2.5014 | 10 | |
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| 2.6108 | 2.4984 | 11 | |
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| 2.6097 | 2.4983 | 12 | |
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| 2.6085 | 2.4976 | 13 | |
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| 2.6073 | 2.4948 | 14 | |
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| 2.6064 | 2.4945 | 15 | |
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| 2.6052 | 2.4939 | 16 | |
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| 2.6039 | 2.4925 | 17 | |
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| 2.6030 | 2.4912 | 18 | |
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| 2.6019 | 2.4890 | 19 | |
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| 2.6007 | 2.4889 | 20 | |
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| 2.5998 | 2.4872 | 21 | |
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| 2.5987 | 2.4865 | 22 | |
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| 2.5977 | 2.4859 | 23 | |
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| 2.5965 | 2.4844 | 24 | |
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| 2.5956 | 2.4834 | 25 | |
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| 2.5944 | 2.4821 | 26 | |
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| 2.5934 | 2.4805 | 27 | |
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| 2.5925 | 2.4790 | 28 | |
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| 2.5914 | 2.4798 | 29 | |
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| 2.5904 | 2.4777 | 30 | |
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| 2.5893 | 2.4781 | 31 | |
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| 2.5883 | 2.4755 | 32 | |
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| 2.5872 | 2.4763 | 33 | |
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| 2.5862 | 2.4743 | 34 | |
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| 2.5851 | 2.4736 | 35 | |
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| 2.5841 | 2.4732 | 36 | |
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| 2.5831 | 2.4726 | 37 | |
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| 2.5822 | 2.4691 | 38 | |
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| 2.5812 | 2.4689 | 39 | |
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| 2.5803 | 2.4670 | 40 | |
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| 2.5792 | 2.4675 | 41 | |
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| 2.5783 | 2.4650 | 42 | |
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| 2.5773 | 2.4650 | 43 | |
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| 2.5763 | 2.4625 | 44 | |
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| 2.5754 | 2.4615 | 45 | |
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| 2.5743 | 2.4619 | 46 | |
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| 2.5735 | 2.4597 | 47 | |
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| 2.5725 | 2.4594 | 48 | |
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| 2.5715 | 2.4582 | 49 | |
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| 2.5707 | 2.4568 | 50 | |
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| 2.5699 | 2.4562 | 51 | |
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| 2.5689 | 2.4565 | 52 | |
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| 2.5680 | 2.4550 | 53 | |
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| 2.5671 | 2.4536 | 54 | |
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| 2.5661 | 2.4529 | 55 | |
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| 2.5653 | 2.4513 | 56 | |
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| 2.5644 | 2.4515 | 57 | |
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| 2.5635 | 2.4510 | 58 | |
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| 2.5626 | 2.4481 | 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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