Model save
Browse files- README.md +146 -0
- generation_config.json +6 -0
README.md
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---
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license: mit
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base_model: openai-community/gpt2
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tags:
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- trl
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- sft
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: '47015772_2'
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# 47015772_2
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6622
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- Accuracy: 0.0001
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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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- learning_rate: 1.41e-05
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- train_batch_size: 32
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- eval_batch_size: 4
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 256
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- total_eval_batch_size: 8
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- training_steps: 2000
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 1.0551 | 0.01 | 25 | 0.9816 | 0.0001 |
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| 0.8806 | 0.01 | 50 | 0.8239 | 0.0001 |
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| 0.8218 | 0.02 | 75 | 0.7796 | 0.0001 |
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| 0.7854 | 0.02 | 100 | 0.7578 | 0.0001 |
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| 0.7887 | 0.03 | 125 | 0.7440 | 0.0000 |
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| 0.7675 | 0.03 | 150 | 0.7347 | 0.0001 |
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| 0.7552 | 0.04 | 175 | 0.7275 | 0.0001 |
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| 0.7493 | 0.04 | 200 | 0.7230 | 0.0001 |
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| 0.7471 | 0.05 | 225 | 0.7187 | 0.0000 |
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| 0.7376 | 0.06 | 250 | 0.7147 | 0.0001 |
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| 0.7341 | 0.06 | 275 | 0.7119 | 0.0001 |
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| 0.7387 | 0.07 | 300 | 0.7091 | 0.0001 |
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| 0.7364 | 0.07 | 325 | 0.7069 | 0.0001 |
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| 0.7179 | 0.08 | 350 | 0.7039 | 0.0001 |
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| 0.7145 | 0.08 | 375 | 0.7016 | 0.0000 |
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| 0.7204 | 0.09 | 400 | 0.6989 | 0.0000 |
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| 0.7236 | 0.1 | 425 | 0.6963 | 0.0000 |
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| 0.7099 | 0.1 | 450 | 0.6944 | 0.0000 |
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| 0.7137 | 0.11 | 475 | 0.6927 | 0.0001 |
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| 0.7106 | 0.11 | 500 | 0.6900 | 0.0000 |
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| 0.7074 | 0.12 | 525 | 0.6884 | 0.0001 |
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| 0.7141 | 0.12 | 550 | 0.6871 | 0.0000 |
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| 0.7053 | 0.13 | 575 | 0.6856 | 0.0001 |
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| 0.7082 | 0.13 | 600 | 0.6849 | 0.0000 |
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| 0.704 | 0.14 | 625 | 0.6841 | 0.0001 |
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| 0.7057 | 0.15 | 650 | 0.6828 | 0.0001 |
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| 0.7027 | 0.15 | 675 | 0.6813 | 0.0001 |
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| 0.6951 | 0.16 | 700 | 0.6807 | 0.0001 |
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| 0.6943 | 0.16 | 725 | 0.6795 | 0.0001 |
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| 0.7063 | 0.17 | 750 | 0.6781 | 0.0001 |
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| 0.6888 | 0.17 | 775 | 0.6777 | 0.0001 |
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| 0.7 | 0.18 | 800 | 0.6769 | 0.0001 |
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| 0.6905 | 0.19 | 825 | 0.6762 | 0.0001 |
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| 0.7005 | 0.19 | 850 | 0.6756 | 0.0001 |
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| 0.6968 | 0.2 | 875 | 0.6747 | 0.0000 |
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| 0.6895 | 0.2 | 900 | 0.6743 | 0.0001 |
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| 0.6935 | 0.21 | 925 | 0.6732 | 0.0001 |
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| 0.7006 | 0.21 | 950 | 0.6727 | 0.0001 |
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| 0.6862 | 0.22 | 975 | 0.6722 | 0.0001 |
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| 0.6921 | 0.22 | 1000 | 0.6716 | 0.0001 |
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| 0.6875 | 0.23 | 1025 | 0.6710 | 0.0001 |
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| 0.6971 | 0.24 | 1050 | 0.6705 | 0.0001 |
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| 0.692 | 0.24 | 1075 | 0.6702 | 0.0001 |
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| 0.686 | 0.25 | 1100 | 0.6693 | 0.0001 |
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| 0.6876 | 0.25 | 1125 | 0.6692 | 0.0001 |
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| 0.6834 | 0.26 | 1150 | 0.6686 | 0.0001 |
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| 0.7024 | 0.26 | 1175 | 0.6683 | 0.0001 |
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| 0.6931 | 0.27 | 1200 | 0.6678 | 0.0001 |
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| 0.6764 | 0.28 | 1225 | 0.6677 | 0.0001 |
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| 0.6914 | 0.28 | 1250 | 0.6672 | 0.0001 |
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| 0.6916 | 0.29 | 1275 | 0.6667 | 0.0001 |
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| 0.6808 | 0.29 | 1300 | 0.6665 | 0.0001 |
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| 0.6789 | 0.3 | 1325 | 0.6661 | 0.0001 |
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| 0.6803 | 0.3 | 1350 | 0.6659 | 0.0001 |
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| 0.6892 | 0.31 | 1375 | 0.6656 | 0.0001 |
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| 0.6749 | 0.31 | 1400 | 0.6654 | 0.0001 |
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| 0.6823 | 0.32 | 1425 | 0.6648 | 0.0001 |
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| 0.6827 | 0.33 | 1450 | 0.6648 | 0.0001 |
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| 0.6826 | 0.33 | 1475 | 0.6647 | 0.0001 |
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| 0.6813 | 0.34 | 1500 | 0.6645 | 0.0001 |
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| 0.6864 | 0.34 | 1525 | 0.6641 | 0.0001 |
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| 0.6809 | 0.35 | 1550 | 0.6639 | 0.0001 |
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| 0.6779 | 0.35 | 1575 | 0.6639 | 0.0001 |
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| 0.687 | 0.36 | 1600 | 0.6635 | 0.0001 |
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| 0.6824 | 0.37 | 1625 | 0.6635 | 0.0001 |
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| 0.6816 | 0.37 | 1650 | 0.6631 | 0.0001 |
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| 0.6773 | 0.38 | 1675 | 0.6632 | 0.0001 |
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| 0.6788 | 0.38 | 1700 | 0.6630 | 0.0001 |
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| 0.6739 | 0.39 | 1725 | 0.6630 | 0.0001 |
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| 0.6773 | 0.39 | 1750 | 0.6629 | 0.0001 |
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| 0.6742 | 0.4 | 1775 | 0.6628 | 0.0001 |
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| 0.6797 | 0.4 | 1800 | 0.6626 | 0.0001 |
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| 0.6861 | 0.41 | 1825 | 0.6627 | 0.0001 |
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| 0.686 | 0.42 | 1850 | 0.6625 | 0.0001 |
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| 0.6711 | 0.42 | 1875 | 0.6624 | 0.0001 |
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| 0.6773 | 0.43 | 1900 | 0.6624 | 0.0001 |
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| 0.6844 | 0.43 | 1925 | 0.6623 | 0.0001 |
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| 0.6809 | 0.44 | 1950 | 0.6622 | 0.0001 |
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| 0.6766 | 0.44 | 1975 | 0.6622 | 0.0001 |
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| 0.6733 | 0.45 | 2000 | 0.6622 | 0.0001 |
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### Framework versions
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- Transformers 4.37.0
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- Pytorch 2.0.0+cu118
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- Datasets 2.16.1
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- Tokenizers 0.15.1
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generation_config.json
ADDED
@@ -0,0 +1,6 @@
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.37.0"
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}
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