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--- |
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license: mit |
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base_model: vicgalle/gpt2-open-instruct-v1 |
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tags: |
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- generated_from_trainer |
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datasets: |
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- gsm8k |
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model-index: |
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- name: gpt2-open-instruct-v1-gsm8k |
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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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# gpt2-open-instruct-v1-gsm8k |
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This model is a fine-tuned version of [vicgalle/gpt2-open-instruct-v1](https://huggingface.co/vicgalle/gpt2-open-instruct-v1) on the gsm8k dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3966 |
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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: 0.0005 |
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- train_batch_size: 16 |
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- eval_batch_size: 1 |
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- seed: 42 |
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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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- lr_scheduler_warmup_steps: 100 |
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- num_epochs: 20 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 468 | 2.5579 | |
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| 2.859 | 2.0 | 936 | 2.5018 | |
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| 2.6455 | 3.0 | 1404 | 2.4752 | |
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| 2.6025 | 4.0 | 1872 | 2.4590 | |
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| 2.5777 | 5.0 | 2340 | 2.4473 | |
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| 2.5557 | 6.0 | 2808 | 2.4388 | |
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| 2.538 | 7.0 | 3276 | 2.4309 | |
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| 2.5246 | 8.0 | 3744 | 2.4236 | |
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| 2.514 | 9.0 | 4212 | 2.4186 | |
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| 2.5059 | 10.0 | 4680 | 2.4159 | |
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| 2.4944 | 11.0 | 5148 | 2.4107 | |
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| 2.4874 | 12.0 | 5616 | 2.4078 | |
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| 2.4862 | 13.0 | 6084 | 2.4053 | |
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| 2.475 | 14.0 | 6552 | 2.4027 | |
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| 2.4716 | 15.0 | 7020 | 2.4008 | |
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| 2.4716 | 16.0 | 7488 | 2.3995 | |
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| 2.4704 | 17.0 | 7956 | 2.3985 | |
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| 2.4648 | 18.0 | 8424 | 2.3973 | |
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| 2.4634 | 19.0 | 8892 | 2.3968 | |
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| 2.459 | 20.0 | 9360 | 2.3966 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.13.1 |
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- Tokenizers 0.13.3 |
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