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gokulsrinivasagan
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gpt_train_12_128

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
Eval Results
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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  1. README.md +413 -0
  2. config.json +39 -0
  3. generation_config.json +6 -0
  4. logs/events.out.tfevents.1719842149.s_005_m.77188.0 +3 -0
  5. merges.txt +0 -0
  6. model.safetensors +3 -0
  7. special_tokens_map.json +5 -0
  8. tokenizer.json +0 -0
  9. tokenizer_config.json +19 -0
  10. training_args.bin +3 -0
  11. vocab.json +0 -0
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_train_12_128
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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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+ # gpt_train_12_128
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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: 10.0781
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+ - Accuracy: 0.0781
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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: 48
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+ - eval_batch_size: 48
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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: 100
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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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+ | 10.8438 | 0.0001 | 1 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0001 | 2 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0002 | 3 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0003 | 4 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0004 | 5 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0004 | 6 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0005 | 7 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0006 | 8 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0007 | 9 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0007 | 10 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0008 | 11 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0009 | 12 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0009 | 13 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0010 | 14 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0011 | 15 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0012 | 16 | 10.8438 | 0.0103 |
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+ | 10.8359 | 0.0012 | 17 | 10.8438 | 0.0103 |
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+ | 10.8438 | 0.0013 | 18 | 10.8281 | 0.0113 |
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+ | 10.8203 | 0.0014 | 19 | 10.8125 | 0.0116 |
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+ | 10.8203 | 0.0015 | 20 | 10.8047 | 0.0117 |
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+ | 10.8047 | 0.0015 | 21 | 10.7891 | 0.0118 |
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+ | 10.7969 | 0.0016 | 22 | 10.7734 | 0.0118 |
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+ | 10.7812 | 0.0017 | 23 | 10.7656 | 0.0118 |
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+ | 10.7656 | 0.0017 | 24 | 10.75 | 0.0119 |
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+ | 10.7578 | 0.0018 | 25 | 10.7344 | 0.0121 |
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+ | 10.75 | 0.0019 | 26 | 10.7266 | 0.0124 |
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+ | 10.7344 | 0.0020 | 27 | 10.7188 | 0.0131 |
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+ | 10.7266 | 0.0020 | 28 | 10.7031 | 0.0144 |
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+ | 10.7109 | 0.0021 | 29 | 10.6953 | 0.0165 |
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+ | 10.7031 | 0.0022 | 30 | 10.6875 | 0.0196 |
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+ | 10.7031 | 0.0023 | 31 | 10.6797 | 0.0236 |
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+ | 10.6875 | 0.0023 | 32 | 10.6719 | 0.0282 |
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+ | 10.6797 | 0.0024 | 33 | 10.6641 | 0.0330 |
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+ | 10.6719 | 0.0025 | 34 | 10.6641 | 0.0375 |
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+ | 10.6719 | 0.0025 | 35 | 10.6562 | 0.0409 |
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+ | 10.6719 | 0.0026 | 36 | 10.6484 | 0.0437 |
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+ | 10.6484 | 0.0027 | 37 | 10.6484 | 0.0461 |
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+ | 10.6562 | 0.0028 | 38 | 10.6406 | 0.0481 |
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+ | 10.6484 | 0.0028 | 39 | 10.6406 | 0.0498 |
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+ | 10.6484 | 0.0029 | 40 | 10.6328 | 0.0511 |
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+ | 10.6406 | 0.0030 | 41 | 10.6328 | 0.0521 |
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+ | 10.6406 | 0.0031 | 42 | 10.625 | 0.0529 |
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+ | 10.6406 | 0.0031 | 43 | 10.625 | 0.0535 |
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+ | 10.625 | 0.0032 | 44 | 10.6172 | 0.0539 |
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+ | 10.625 | 0.0033 | 45 | 10.6172 | 0.0542 |
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+ | 10.625 | 0.0033 | 46 | 10.6172 | 0.0543 |
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+ | 10.6172 | 0.0034 | 47 | 10.6094 | 0.0544 |
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+ | 10.625 | 0.0035 | 48 | 10.6094 | 0.0545 |
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+ | 10.6172 | 0.0036 | 49 | 10.6016 | 0.0545 |
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+ | 10.6016 | 0.0036 | 50 | 10.6016 | 0.0545 |
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+ | 10.6016 | 0.0037 | 51 | 10.6016 | 0.0545 |
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+ | 10.6016 | 0.0038 | 52 | 10.5938 | 0.0546 |
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+ | 10.6016 | 0.0039 | 53 | 10.5938 | 0.0545 |
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+ | 10.5938 | 0.0039 | 54 | 10.5938 | 0.0545 |
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+ | 10.6016 | 0.0040 | 55 | 10.5859 | 0.0545 |
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+ | 10.5859 | 0.0041 | 56 | 10.5859 | 0.0545 |
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+ | 10.6016 | 0.0041 | 57 | 10.5859 | 0.0545 |
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+ | 10.5859 | 0.0042 | 58 | 10.5859 | 0.0546 |
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+ | 10.5859 | 0.0043 | 59 | 10.5781 | 0.0547 |
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+ | 10.5781 | 0.0044 | 60 | 10.5781 | 0.0548 |
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+ | 10.5781 | 0.0044 | 61 | 10.5781 | 0.0550 |
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+ | 10.5781 | 0.0045 | 62 | 10.5703 | 0.0553 |
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+ | 10.5781 | 0.0046 | 63 | 10.5703 | 0.0557 |
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+ | 10.5703 | 0.0046 | 64 | 10.5703 | 0.0561 |
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+ | 10.5781 | 0.0047 | 65 | 10.5625 | 0.0566 |
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+ | 10.5625 | 0.0048 | 66 | 10.5625 | 0.0570 |
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+ | 10.5781 | 0.0049 | 67 | 10.5625 | 0.0573 |
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+ | 10.5703 | 0.0049 | 68 | 10.5547 | 0.0575 |
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+ | 10.5625 | 0.0050 | 69 | 10.5547 | 0.0577 |
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+ | 10.5625 | 0.0051 | 70 | 10.5547 | 0.0578 |
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+ | 10.5625 | 0.0052 | 71 | 10.5547 | 0.0579 |
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+ | 10.5547 | 0.0052 | 72 | 10.5469 | 0.0580 |
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+ | 10.5469 | 0.0053 | 73 | 10.5469 | 0.0580 |
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+ | 10.5469 | 0.0054 | 74 | 10.5469 | 0.0580 |
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+ | 10.5547 | 0.0054 | 75 | 10.5391 | 0.0580 |
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+ | 10.5547 | 0.0055 | 76 | 10.5391 | 0.0580 |
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+ | 10.5469 | 0.0056 | 77 | 10.5391 | 0.0582 |
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+ | 10.5469 | 0.0057 | 78 | 10.5391 | 0.0582 |
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+ | 10.5312 | 0.0057 | 79 | 10.5312 | 0.0584 |
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+ | 10.5312 | 0.0059 | 81 | 10.5312 | 0.0590 |
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+ | 10.5234 | 0.0063 | 87 | 10.5156 | 0.0604 |
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+ | 10.5156 | 0.0064 | 88 | 10.5156 | 0.0605 |
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+ | 10.5234 | 0.0065 | 89 | 10.5156 | 0.0606 |
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+ | 10.5156 | 0.0065 | 90 | 10.5156 | 0.0606 |
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+ | 10.5156 | 0.0066 | 91 | 10.5078 | 0.0606 |
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+ | 10.5156 | 0.0067 | 92 | 10.5078 | 0.0605 |
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+ | 10.5156 | 0.0068 | 93 | 10.5078 | 0.0603 |
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+ | 10.5156 | 0.0068 | 94 | 10.5078 | 0.0602 |
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+ | 10.5234 | 0.0069 | 95 | 10.5 | 0.0601 |
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+ | 10.5156 | 0.0070 | 96 | 10.5 | 0.0602 |
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+ | 10.5078 | 0.0070 | 97 | 10.5 | 0.0603 |
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+ | 10.5 | 0.0071 | 98 | 10.5 | 0.0603 |
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+ | 10.5078 | 0.0072 | 99 | 10.5 | 0.0604 |
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+ | 10.5078 | 0.0073 | 100 | 10.4922 | 0.0606 |
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+ | 10.5 | 0.0073 | 101 | 10.4922 | 0.0607 |
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+ | 10.4922 | 0.0074 | 102 | 10.4922 | 0.0609 |
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+ | 10.4922 | 0.0075 | 103 | 10.4922 | 0.0612 |
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+ | 10.4844 | 0.0076 | 104 | 10.4844 | 0.0614 |
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+ | 10.4922 | 0.0076 | 105 | 10.4844 | 0.0617 |
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+ | 10.4922 | 0.0077 | 106 | 10.4844 | 0.0619 |
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+ | 10.4844 | 0.0078 | 107 | 10.4844 | 0.0622 |
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+ | 10.4922 | 0.0078 | 108 | 10.4766 | 0.0625 |
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+ | 10.4844 | 0.0079 | 109 | 10.4766 | 0.0628 |
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+ | 10.4766 | 0.0080 | 110 | 10.4766 | 0.0630 |
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+ | 10.4844 | 0.0081 | 111 | 10.4766 | 0.0632 |
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+ | 10.4766 | 0.0081 | 112 | 10.4766 | 0.0634 |
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+ | 10.4844 | 0.0082 | 113 | 10.4688 | 0.0636 |
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+ | 10.4766 | 0.0083 | 114 | 10.4688 | 0.0638 |
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+ | 10.4766 | 0.0084 | 115 | 10.4688 | 0.0640 |
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+ | 10.4844 | 0.0084 | 116 | 10.4688 | 0.0643 |
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+ | 10.4531 | 0.0085 | 117 | 10.4609 | 0.0644 |
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+ | 10.4609 | 0.0086 | 118 | 10.4609 | 0.0647 |
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+ | 10.4609 | 0.0086 | 119 | 10.4609 | 0.0648 |
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+ | 10.4688 | 0.0087 | 120 | 10.4609 | 0.0649 |
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+ | 10.4609 | 0.0088 | 121 | 10.4609 | 0.0651 |
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+ | 10.4609 | 0.0089 | 122 | 10.4531 | 0.0653 |
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+ | 10.4531 | 0.0089 | 123 | 10.4531 | 0.0656 |
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+ | 10.4531 | 0.0090 | 124 | 10.4531 | 0.0659 |
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+ | 10.4531 | 0.0091 | 125 | 10.4531 | 0.0660 |
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+ | 10.4531 | 0.0092 | 126 | 10.4453 | 0.0662 |
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+ | 10.4531 | 0.0092 | 127 | 10.4453 | 0.0664 |
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+ | 10.4453 | 0.0093 | 128 | 10.4453 | 0.0667 |
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+ | 10.4531 | 0.0094 | 129 | 10.4453 | 0.0670 |
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+ | 10.4375 | 0.0094 | 130 | 10.4453 | 0.0673 |
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+ | 10.4453 | 0.0095 | 131 | 10.4375 | 0.0676 |
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+ | 10.4375 | 0.0096 | 132 | 10.4375 | 0.0678 |
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+ | 10.4375 | 0.0097 | 133 | 10.4375 | 0.0679 |
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+ | 10.4297 | 0.0097 | 134 | 10.4375 | 0.0679 |
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+ | 10.4453 | 0.0098 | 135 | 10.4297 | 0.0678 |
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+ | 10.4375 | 0.0099 | 136 | 10.4297 | 0.0677 |
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+ | 10.4375 | 0.0100 | 137 | 10.4297 | 0.0677 |
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+ | 10.4219 | 0.0100 | 138 | 10.4297 | 0.0677 |
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+ | 10.4375 | 0.0101 | 139 | 10.4219 | 0.0678 |
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+ | 10.4297 | 0.0102 | 140 | 10.4219 | 0.0680 |
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+ | 10.4297 | 0.0102 | 141 | 10.4219 | 0.0682 |
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+ | 10.4219 | 0.0103 | 142 | 10.4219 | 0.0684 |
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+ | 10.4219 | 0.0104 | 143 | 10.4219 | 0.0687 |
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+ | 10.4219 | 0.0105 | 144 | 10.4141 | 0.0689 |
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+ | 10.4219 | 0.0105 | 145 | 10.4141 | 0.0692 |
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+ | 10.4141 | 0.0106 | 146 | 10.4141 | 0.0693 |
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+ | 10.4062 | 0.0107 | 147 | 10.4141 | 0.0695 |
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+ | 10.4141 | 0.0108 | 148 | 10.4062 | 0.0696 |
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+ | 10.4141 | 0.0108 | 149 | 10.4062 | 0.0697 |
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+ | 10.4219 | 0.0109 | 150 | 10.4062 | 0.0697 |
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+ | 10.4062 | 0.0110 | 151 | 10.4062 | 0.0698 |
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+ | 10.4141 | 0.0110 | 152 | 10.4062 | 0.0700 |
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+ | 10.4141 | 0.0111 | 153 | 10.3984 | 0.0701 |
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+ | 10.4219 | 0.0112 | 154 | 10.3984 | 0.0702 |
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+ | 10.4141 | 0.0113 | 155 | 10.3984 | 0.0704 |
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+ | 10.4062 | 0.0113 | 156 | 10.3984 | 0.0705 |
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+ | 10.4062 | 0.0114 | 157 | 10.3906 | 0.0707 |
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+ | 10.3906 | 0.0115 | 158 | 10.3906 | 0.0708 |
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+ | 10.3906 | 0.0116 | 159 | 10.3906 | 0.0710 |
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+ | 10.3984 | 0.0116 | 160 | 10.3906 | 0.0711 |
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+ | 10.3984 | 0.0117 | 161 | 10.3906 | 0.0711 |
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+ | 10.3906 | 0.0118 | 162 | 10.3828 | 0.0712 |
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+ | 10.375 | 0.0121 | 166 | 10.375 | 0.0716 |
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+ | 10.3828 | 0.0121 | 167 | 10.375 | 0.0717 |
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+ | 10.3828 | 0.0122 | 168 | 10.375 | 0.0718 |
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+ | 10.3828 | 0.0123 | 169 | 10.375 | 0.0719 |
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+ | 10.3828 | 0.0124 | 170 | 10.375 | 0.0721 |
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+ | 10.3672 | 0.0124 | 171 | 10.3672 | 0.0721 |
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+ | 10.375 | 0.0125 | 172 | 10.3672 | 0.0721 |
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+ | 10.3594 | 0.0126 | 173 | 10.3672 | 0.0721 |
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+ | 10.375 | 0.0126 | 174 | 10.3672 | 0.0720 |
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+ | 10.3594 | 0.0127 | 175 | 10.3594 | 0.0721 |
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+ | 10.3672 | 0.0128 | 176 | 10.3594 | 0.0722 |
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+ | 10.375 | 0.0129 | 177 | 10.3594 | 0.0723 |
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+ | 10.3672 | 0.0129 | 178 | 10.3594 | 0.0726 |
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+ | 10.3672 | 0.0130 | 179 | 10.3594 | 0.0727 |
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+ | 10.3594 | 0.0131 | 180 | 10.3516 | 0.0728 |
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+ | 10.3594 | 0.0132 | 182 | 10.3516 | 0.0730 |
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+ | 10.3516 | 0.0133 | 183 | 10.3516 | 0.0731 |
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+ | 10.3594 | 0.0134 | 184 | 10.3516 | 0.0732 |
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+ | 10.3516 | 0.0134 | 185 | 10.3438 | 0.0733 |
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+ | 10.3516 | 0.0135 | 186 | 10.3438 | 0.0733 |
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+ | 10.3438 | 0.0136 | 187 | 10.3438 | 0.0734 |
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+ | 10.3516 | 0.0137 | 188 | 10.3438 | 0.0734 |
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+ | 10.3438 | 0.0138 | 190 | 10.3359 | 0.0735 |
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+ | 10.3125 | 0.0150 | 206 | 10.3125 | 0.0741 |
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291
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+ ### Framework versions
409
+
410
+ - Transformers 4.41.2
411
+ - Pytorch 2.1.0a0+32f93b1
412
+ - Datasets 2.20.0
413
+ - Tokenizers 0.19.1
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