Model save
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README.md
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---
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license: mit
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base_model: gpt2
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tags:
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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: stage2Only_scaffoldGPT
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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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# stage2Only_scaffoldGPT
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3794
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- Accuracy: 0.8768
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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: 5e-05
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- train_batch_size: 24
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- eval_batch_size: 24
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 8
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- total_train_batch_size: 192
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- total_eval_batch_size: 192
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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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- num_epochs: 10.0
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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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| 0.4672 | 1.0 | 6015 | 0.4400 | 0.8613 |
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| 0.4321 | 2.0 | 12030 | 0.4123 | 0.8684 |
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| 0.417 | 3.0 | 18045 | 0.4000 | 0.8716 |
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| 0.4082 | 4.0 | 24060 | 0.3928 | 0.8734 |
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| 0.4024 | 5.0 | 30075 | 0.3881 | 0.8746 |
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| 0.3982 | 6.0 | 36090 | 0.3847 | 0.8754 |
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| 0.3953 | 7.0 | 42105 | 0.3824 | 0.8760 |
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| 0.3932 | 8.0 | 48120 | 0.3807 | 0.8765 |
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| 0.3919 | 9.0 | 54135 | 0.3798 | 0.8767 |
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| 0.3912 | 10.0 | 60150 | 0.3794 | 0.8768 |
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### Framework versions
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- Transformers 4.36.0.dev0
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- Pytorch 2.1.1+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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generation_config.json
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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": "4.36.0.dev0"
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}
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model.safetensors
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runs/Jul30_21-56-55_rbdgx1/events.out.tfevents.1722394910.rbdgx1.2063878.0
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size 27289
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