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README.md ADDED
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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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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: gpt_12
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+ results: []
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+ ---
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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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+
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+ [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/gokulsrinivasagan/huggingface/runs/mlgwaerz)
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+ # gpt_12
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+
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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: 8.8359
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+ - Accuracy: 0.0828
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 10
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+ - distributed_type: multi-GPU
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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
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 10.9609 | 0.0000 | 1 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0000 | 2 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0000 | 3 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0000 | 4 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0000 | 5 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0000 | 6 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0000 | 7 | 10.9922 | 0.0000 |
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+ | 10.9688 | 0.0000 | 8 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0001 | 9 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0001 | 10 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0001 | 11 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0001 | 12 | 10.9922 | 0.0000 |
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+ | 10.9453 | 0.0001 | 13 | 10.9922 | 0.0000 |
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+ | 10.9531 | 0.0001 | 14 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0001 | 15 | 10.9922 | 0.0000 |
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+ | 10.9609 | 0.0001 | 16 | 10.9922 | 0.0000 |
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+ | 10.9688 | 0.0001 | 17 | 10.9922 | 0.0000 |
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+ | 10.9531 | 0.0001 | 18 | 10.7344 | 0.0038 |
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+ | 10.5781 | 0.0001 | 19 | 10.5703 | 0.0077 |
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+ | 10.3828 | 0.0001 | 20 | 10.4219 | 0.0192 |
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+ | 10.1875 | 0.0001 | 21 | 10.3359 | 0.0118 |
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+ | 10.1094 | 0.0001 | 22 | 10.25 | 0.0071 |
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+ | 9.9688 | 0.0001 | 23 | 10.2188 | 0.0029 |
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+ | 9.9141 | 0.0001 | 24 | 10.1953 | 0.0019 |
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+ | 9.8906 | 0.0001 | 25 | 10.1562 | 0.0039 |
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+ | 9.8828 | 0.0002 | 26 | 10.1094 | 0.0093 |
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+ | 9.8516 | 0.0002 | 27 | 10.0547 | 0.0207 |
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+ | 9.7656 | 0.0002 | 28 | 10.0312 | 0.0259 |
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+ | 9.7422 | 0.0002 | 29 | 10.0234 | 0.0263 |
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+ | 9.6797 | 0.0002 | 30 | 10.0312 | 0.0256 |
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+ | 9.7812 | 0.0002 | 31 | 10.0312 | 0.0234 |
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+ | 9.7656 | 0.0002 | 32 | 10.0 | 0.0259 |
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+ | 9.6875 | 0.0002 | 33 | 9.9688 | 0.0266 |
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+ | 9.6719 | 0.0002 | 34 | 9.9375 | 0.0266 |
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+ | 9.6328 | 0.0002 | 35 | 9.9062 | 0.0266 |
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+ | 9.6172 | 0.0002 | 36 | 9.8828 | 0.0266 |
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+ | 9.625 | 0.0002 | 37 | 9.8594 | 0.0266 |
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+ | 9.6094 | 0.0002 | 38 | 9.8281 | 0.0266 |
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+ | 9.6719 | 0.0002 | 39 | 9.7656 | 0.0266 |
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+ | 9.5469 | 0.0002 | 40 | 9.7109 | 0.0266 |
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+ | 9.5312 | 0.0002 | 41 | 9.6562 | 0.0266 |
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+ | 9.5391 | 0.0002 | 42 | 9.6172 | 0.0267 |
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+ | 9.4609 | 0.0003 | 43 | 9.5859 | 0.0307 |
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+ | 9.5 | 0.0003 | 44 | 9.5547 | 0.0440 |
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+ | 9.5391 | 0.0003 | 45 | 9.5234 | 0.0583 |
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+ | 9.4531 | 0.0003 | 46 | 9.5 | 0.0617 |
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+ | 9.4688 | 0.0003 | 47 | 9.4766 | 0.0624 |
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+ | 9.3984 | 0.0003 | 48 | 9.4531 | 0.0624 |
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+ | 9.3906 | 0.0003 | 49 | 9.4375 | 0.0624 |
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+ | 9.4375 | 0.0003 | 50 | 9.4141 | 0.0625 |
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+ | 9.4062 | 0.0003 | 51 | 9.3984 | 0.0627 |
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+ | 9.3516 | 0.0003 | 52 | 9.3828 | 0.0629 |
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+ | 9.3359 | 0.0003 | 53 | 9.3594 | 0.0628 |
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+ | 9.3516 | 0.0003 | 54 | 9.3438 | 0.0623 |
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+ | 9.2734 | 0.0003 | 55 | 9.3281 | 0.0606 |
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+ | 9.375 | 0.0003 | 56 | 9.3125 | 0.0600 |
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+ | 9.3672 | 0.0003 | 57 | 9.3047 | 0.0596 |
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+ | 9.2422 | 0.0003 | 58 | 9.2891 | 0.0597 |
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+ | 9.2734 | 0.0003 | 59 | 9.2734 | 0.0612 |
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+ | 9.2344 | 0.0003 | 60 | 9.2656 | 0.0631 |
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+ | 9.2656 | 0.0004 | 61 | 9.25 | 0.0643 |
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+ | 9.25 | 0.0004 | 62 | 9.2422 | 0.0650 |
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+ | 9.2422 | 0.0004 | 63 | 9.2266 | 0.0657 |
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+ | 9.2109 | 0.0004 | 64 | 9.2188 | 0.0664 |
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+ | 9.1953 | 0.0004 | 65 | 9.2109 | 0.0667 |
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+ | 9.2344 | 0.0004 | 66 | 9.1953 | 0.0672 |
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+ | 9.125 | 0.0004 | 67 | 9.1797 | 0.0675 |
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+ | 9.1797 | 0.0004 | 68 | 9.1719 | 0.0676 |
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+ | 9.1562 | 0.0004 | 69 | 9.1562 | 0.0677 |
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+ | 9.1328 | 0.0004 | 70 | 9.1484 | 0.0678 |
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+ | 9.1172 | 0.0004 | 71 | 9.1328 | 0.0677 |
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+ | 9.1641 | 0.0004 | 72 | 9.125 | 0.0669 |
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+ | 9.0547 | 0.0004 | 73 | 9.1094 | 0.0672 |
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+ | 9.1797 | 0.0004 | 74 | 9.0938 | 0.0682 |
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+ | 9.1094 | 0.0004 | 75 | 9.0781 | 0.0687 |
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+ | 9.1094 | 0.0004 | 76 | 9.0625 | 0.0688 |
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+ | 9.0781 | 0.0004 | 77 | 9.0469 | 0.0688 |
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+ | 9.1172 | 0.0005 | 78 | 9.0312 | 0.0690 |
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+ | 9.0547 | 0.0005 | 79 | 9.0234 | 0.0692 |
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+ | 9.0312 | 0.0005 | 80 | 9.0078 | 0.0704 |
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+ | 9.0469 | 0.0005 | 81 | 8.9922 | 0.0720 |
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+ | 9.0469 | 0.0005 | 82 | 8.9688 | 0.0750 |
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+ | 9.0 | 0.0005 | 83 | 8.9531 | 0.0755 |
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+ | 8.9609 | 0.0005 | 84 | 8.9375 | 0.0751 |
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+ | 9.0625 | 0.0005 | 85 | 8.9219 | 0.0767 |
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+ | 9.0078 | 0.0005 | 86 | 8.9062 | 0.0802 |
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+ | 9.0078 | 0.0005 | 87 | 8.8984 | 0.0819 |
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+ | 8.9141 | 0.0005 | 88 | 8.875 | 0.0824 |
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+ | 9.1094 | 0.0005 | 89 | 8.8516 | 0.0825 |
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+ | 8.9531 | 0.0005 | 90 | 8.8359 | 0.0828 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.0.dev0
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.19.0
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+ - Tokenizers 0.19.1
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