ahotrod/deberta-v3-large-finetuned-squadv2
Browse files- README.md +162 -0
- added_tokens.json +7 -0
- all_results.json +14 -0
- config.json +35 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +9 -0
- spm.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +59 -0
- train_results.json +9 -0
- trainer_state.json +2396 -0
- training_args.bin +3 -0
- validation_results.json +8 -0
README.md
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| 1 |
+
---
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license: mit
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base_model: microsoft/deberta-v3-large
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tags:
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- generated_from_trainer
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datasets:
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- squad_v2
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model-index:
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- name: deberta-v3-large-finetuned-squadv2
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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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# deberta-v3-large-finetuned-squadv2
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This model is a fine-tuned version of [microsoft/deberta-v3-large](https://huggingface.co/microsoft/deberta-v3-large) on the squad_v2 dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5579
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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: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 64
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-06
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 1000
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- training_steps: 5200
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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| 53 |
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|:-------------:|:-----:|:----:|:---------------:|
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| 54 |
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| 0.5293 | 1.57 | 3200 | 0.5739 |
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| 55 |
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| 0.5106 | 1.58 | 3220 | 0.5783 |
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| 56 |
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| 0.5338 | 1.59 | 3240 | 0.5718 |
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| 57 |
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| 0.5128 | 1.6 | 3260 | 0.5827 |
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| 58 |
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| 0.5205 | 1.61 | 3280 | 0.6045 |
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| 59 |
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| 0.5114 | 1.62 | 3300 | 0.5880 |
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| 60 |
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| 0.5072 | 1.63 | 3320 | 0.5788 |
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| 0.5512 | 1.64 | 3340 | 0.5863 |
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| 62 |
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| 0.4723 | 1.65 | 3360 | 0.5898 |
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| 63 |
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| 0.5011 | 1.66 | 3380 | 0.5917 |
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| 64 |
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| 0.5419 | 1.67 | 3400 | 0.6027 |
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| 0.5425 | 1.68 | 3420 | 0.5699 |
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| 66 |
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| 0.5703 | 1.69 | 3440 | 0.5897 |
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| 67 |
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| 0.4646 | 1.7 | 3460 | 0.5917 |
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| 68 |
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| 0.4652 | 1.71 | 3480 | 0.5745 |
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| 69 |
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| 0.5323 | 1.72 | 3500 | 0.5860 |
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| 0.5129 | 1.73 | 3520 | 0.5656 |
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| 0.5441 | 1.74 | 3540 | 0.5642 |
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| 0.5624 | 1.75 | 3560 | 0.5873 |
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| 0.4645 | 1.76 | 3580 | 0.5891 |
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| 0.5577 | 1.77 | 3600 | 0.5816 |
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| 0.5199 | 1.78 | 3620 | 0.5579 |
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| 0.5061 | 1.79 | 3640 | 0.5837 |
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| 0.484 | 1.79 | 3660 | 0.5721 |
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| 0.5095 | 1.8 | 3680 | 0.5821 |
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| 0.5342 | 1.81 | 3700 | 0.5602 |
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| 0.5435 | 1.82 | 3720 | 0.5911 |
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| 0.5288 | 1.83 | 3740 | 0.5647 |
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| 0.5476 | 1.84 | 3760 | 0.5733 |
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| 0.5199 | 1.85 | 3780 | 0.5675 |
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| 0.5067 | 1.86 | 3800 | 0.5839 |
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| 0.5418 | 1.87 | 3820 | 0.5757 |
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| 0.4965 | 1.88 | 3840 | 0.5764 |
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| 0.5273 | 1.89 | 3860 | 0.5906 |
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| 0.5808 | 1.9 | 3880 | 0.5762 |
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| 0.5161 | 1.91 | 3900 | 0.5612 |
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| 0.4863 | 1.92 | 3920 | 0.5804 |
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| 0.4827 | 1.93 | 3940 | 0.5841 |
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| 0.4643 | 1.94 | 3960 | 0.5822 |
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| 0.5029 | 1.95 | 3980 | 0.6052 |
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| 0.509 | 1.96 | 4000 | 0.5800 |
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| 0.5382 | 1.97 | 4020 | 0.5645 |
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| 0.469 | 1.98 | 4040 | 0.5685 |
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| 0.5032 | 1.99 | 4060 | 0.5779 |
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| 0.5171 | 2.0 | 4080 | 0.5686 |
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| 0.3938 | 2.01 | 4100 | 0.5889 |
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| 0.4321 | 2.02 | 4120 | 0.6039 |
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| 0.4185 | 2.03 | 4140 | 0.5996 |
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| 0.4782 | 2.04 | 4160 | 0.5800 |
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| 0.424 | 2.05 | 4180 | 0.6374 |
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| 0.3766 | 2.06 | 4200 | 0.6096 |
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| 0.415 | 2.07 | 4220 | 0.6221 |
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| 0.4352 | 2.08 | 4240 | 0.6150 |
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| 0.4336 | 2.09 | 4260 | 0.6055 |
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| 0.4289 | 2.1 | 4280 | 0.6138 |
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| 0.4433 | 2.11 | 4300 | 0.5946 |
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| 0.4478 | 2.12 | 4320 | 0.6118 |
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| 0.4787 | 2.13 | 4340 | 0.5969 |
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| 0.4432 | 2.14 | 4360 | 0.6048 |
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| 0.4319 | 2.15 | 4380 | 0.5948 |
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| 0.3939 | 2.16 | 4400 | 0.6116 |
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| 0.3921 | 2.17 | 4420 | 0.6082 |
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| 0.4381 | 2.18 | 4440 | 0.6282 |
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| 0.4461 | 2.19 | 4460 | 0.6084 |
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| 118 |
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| 0.4012 | 2.2 | 4480 | 0.6092 |
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| 0.3849 | 2.21 | 4500 | 0.6152 |
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| 0.4178 | 2.22 | 4520 | 0.6004 |
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| 0.4163 | 2.23 | 4540 | 0.6059 |
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| 0.4006 | 2.24 | 4560 | 0.6115 |
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| 0.4225 | 2.25 | 4580 | 0.6130 |
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| 124 |
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| 0.4008 | 2.26 | 4600 | 0.6095 |
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| 0.4706 | 2.27 | 4620 | 0.6136 |
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| 126 |
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| 0.3902 | 2.28 | 4640 | 0.6103 |
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| 127 |
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| 0.4048 | 2.29 | 4660 | 0.6085 |
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| 128 |
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| 0.4411 | 2.3 | 4680 | 0.6139 |
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| 129 |
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| 0.403 | 2.31 | 4700 | 0.6047 |
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| 130 |
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| 0.4799 | 2.31 | 4720 | 0.6043 |
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| 131 |
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| 0.4316 | 2.32 | 4740 | 0.5960 |
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| 132 |
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| 0.4198 | 2.33 | 4760 | 0.6031 |
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| 133 |
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| 0.4254 | 2.34 | 4780 | 0.6033 |
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| 134 |
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| 0.387 | 2.35 | 4800 | 0.6120 |
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| 135 |
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| 0.3882 | 2.36 | 4820 | 0.6128 |
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| 136 |
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| 0.4307 | 2.37 | 4840 | 0.6150 |
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| 137 |
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| 0.434 | 2.38 | 4860 | 0.6077 |
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| 138 |
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| 0.4225 | 2.39 | 4880 | 0.6071 |
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| 139 |
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| 0.4134 | 2.4 | 4900 | 0.6036 |
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| 140 |
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| 0.3846 | 2.41 | 4920 | 0.6124 |
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| 141 |
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| 0.3943 | 2.42 | 4940 | 0.6291 |
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| 142 |
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| 0.4455 | 2.43 | 4960 | 0.6185 |
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| 143 |
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| 0.4104 | 2.44 | 4980 | 0.6064 |
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| 144 |
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| 0.4158 | 2.45 | 5000 | 0.6095 |
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| 145 |
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| 0.4135 | 2.46 | 5020 | 0.6155 |
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| 146 |
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| 0.3789 | 2.47 | 5040 | 0.6209 |
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| 147 |
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| 0.418 | 2.48 | 5060 | 0.6106 |
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| 148 |
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| 0.3931 | 2.49 | 5080 | 0.6047 |
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| 149 |
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| 0.4289 | 2.5 | 5100 | 0.6055 |
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| 150 |
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| 0.4051 | 2.51 | 5120 | 0.6084 |
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| 151 |
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| 0.4217 | 2.52 | 5140 | 0.6118 |
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| 152 |
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| 0.3843 | 2.53 | 5160 | 0.6139 |
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| 153 |
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| 0.4435 | 2.54 | 5180 | 0.6126 |
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| 154 |
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| 0.4274 | 2.55 | 5200 | 0.6120 |
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### Framework versions
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- Transformers 4.35.0.dev0
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- Pytorch 2.1.0+cu121
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- Datasets 2.14.5
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- Tokenizers 0.14.0
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added_tokens.json
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{
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"[CLS]": 1,
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"[MASK]": 128000,
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"[PAD]": 0,
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"[SEP]": 2,
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| 6 |
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"[UNK]": 3
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}
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all_results.json
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{
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"epoch": 2.55,
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| 3 |
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"eval_loss": 0.5579236745834351,
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| 4 |
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"eval_runtime": 277.7608,
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| 5 |
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"eval_samples_per_second": 43.026,
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| 6 |
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"eval_steps_per_second": 5.379,
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| 7 |
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"total_flos": 3.09073923350188e+17,
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| 8 |
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"train_loss": 0.820626282783655,
|
| 9 |
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"train_runtime": 52836.9017,
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| 10 |
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"train_samples": 130319,
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| 11 |
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"train_samples_per_second": 6.299,
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| 12 |
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"train_steps_per_second": 0.098,
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| 13 |
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"validation_samples": 11873
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}
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config.json
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{
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| 2 |
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"_name_or_path": "microsoft/deberta-v3-large",
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| 3 |
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"architectures": [
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| 4 |
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"DebertaV2ForQuestionAnswering"
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| 5 |
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],
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| 6 |
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"attention_probs_dropout_prob": 0.1,
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| 7 |
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"hidden_act": "gelu",
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| 8 |
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"hidden_dropout_prob": 0.1,
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| 9 |
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"hidden_size": 1024,
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| 10 |
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"initializer_range": 0.02,
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| 11 |
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"intermediate_size": 4096,
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| 12 |
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"layer_norm_eps": 1e-07,
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| 13 |
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"max_position_embeddings": 512,
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| 14 |
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"max_relative_positions": -1,
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| 15 |
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"model_type": "deberta-v2",
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| 16 |
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"norm_rel_ebd": "layer_norm",
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| 17 |
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"num_attention_heads": 16,
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| 18 |
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"num_hidden_layers": 24,
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| 19 |
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"pad_token_id": 0,
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| 20 |
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"pooler_dropout": 0,
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| 21 |
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"pooler_hidden_act": "gelu",
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| 22 |
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"pooler_hidden_size": 1024,
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| 23 |
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"pos_att_type": [
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| 24 |
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"p2c",
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| 25 |
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"c2p"
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| 26 |
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],
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| 27 |
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"position_biased_input": false,
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| 28 |
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"position_buckets": 256,
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| 29 |
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"relative_attention": true,
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| 30 |
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"share_att_key": true,
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| 31 |
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"torch_dtype": "float32",
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| 32 |
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"transformers_version": "4.35.0.dev0",
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| 33 |
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"type_vocab_size": 0,
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| 34 |
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"vocab_size": 128100
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| 35 |
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:b191b6409c8b62441219101ca301e19a384072b02c3b4836804b5e17d3e59b1c
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size 1736193258
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special_tokens_map.json
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{
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"bos_token": "[CLS]",
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| 3 |
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"cls_token": "[CLS]",
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| 4 |
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"eos_token": "[SEP]",
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| 5 |
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"mask_token": "[MASK]",
|
| 6 |
+
"pad_token": "[PAD]",
|
| 7 |
+
"sep_token": "[SEP]",
|
| 8 |
+
"unk_token": "[UNK]"
|
| 9 |
+
}
|
spm.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c679fbf93643d19aab7ee10c0b99e460bdbc02fedf34b92b05af343b4af586fd
|
| 3 |
+
size 2464616
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,59 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
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|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
|
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|
|
|
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|
|
|
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|
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|
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|
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|
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|
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|
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|
|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"1": {
|
| 12 |
+
"content": "[CLS]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"2": {
|
| 20 |
+
"content": "[SEP]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"3": {
|
| 28 |
+
"content": "[UNK]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": true,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"128000": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"additional_special_tokens": [],
|
| 45 |
+
"bos_token": "[CLS]",
|
| 46 |
+
"clean_up_tokenization_spaces": true,
|
| 47 |
+
"cls_token": "[CLS]",
|
| 48 |
+
"do_lower_case": false,
|
| 49 |
+
"eos_token": "[SEP]",
|
| 50 |
+
"mask_token": "[MASK]",
|
| 51 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 52 |
+
"pad_token": "[PAD]",
|
| 53 |
+
"sep_token": "[SEP]",
|
| 54 |
+
"sp_model_kwargs": {},
|
| 55 |
+
"split_by_punct": false,
|
| 56 |
+
"tokenizer_class": "DebertaV2Tokenizer",
|
| 57 |
+
"unk_token": "[UNK]",
|
| 58 |
+
"vocab_type": "spm"
|
| 59 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.55,
|
| 3 |
+
"total_flos": 3.09073923350188e+17,
|
| 4 |
+
"train_loss": 0.820626282783655,
|
| 5 |
+
"train_runtime": 52836.9017,
|
| 6 |
+
"train_samples": 130319,
|
| 7 |
+
"train_samples_per_second": 6.299,
|
| 8 |
+
"train_steps_per_second": 0.098
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,2396 @@
|
|
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|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.5579236745834351,
|
| 3 |
+
"best_model_checkpoint": "deberta-v3-large-finetuned-squadv2/checkpoint-3620",
|
| 4 |
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"epoch": 2.550269740068661,
|
| 5 |
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"eval_steps": 20,
|
| 6 |
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"global_step": 5200,
|
| 7 |
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"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
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{
|
| 12 |
+
"epoch": 0.01,
|
| 13 |
+
"learning_rate": 2.0000000000000002e-07,
|
| 14 |
+
"loss": 6.0843,
|
| 15 |
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"step": 20
|
| 16 |
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},
|
| 17 |
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{
|
| 18 |
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"epoch": 0.02,
|
| 19 |
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"learning_rate": 4.0000000000000003e-07,
|
| 20 |
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"loss": 6.0629,
|
| 21 |
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"step": 40
|
| 22 |
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},
|
| 23 |
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{
|
| 24 |
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"epoch": 0.03,
|
| 25 |
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"learning_rate": 6.000000000000001e-07,
|
| 26 |
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"loss": 6.0196,
|
| 27 |
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"step": 60
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.04,
|
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|
| 2388 |
+
],
|
| 2389 |
+
"logging_steps": 20,
|
| 2390 |
+
"max_steps": 5200,
|
| 2391 |
+
"num_train_epochs": 3,
|
| 2392 |
+
"save_steps": 20,
|
| 2393 |
+
"total_flos": 3.09073923350188e+17,
|
| 2394 |
+
"trial_name": null,
|
| 2395 |
+
"trial_params": null
|
| 2396 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2ca203eda63948cd93799ce1d47ea864d0bcc15b9ca0e08ebdd995a2892d87bc
|
| 3 |
+
size 4472
|
validation_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.55,
|
| 3 |
+
"eval_loss": 0.5579236745834351,
|
| 4 |
+
"eval_runtime": 277.7608,
|
| 5 |
+
"eval_samples_per_second": 43.026,
|
| 6 |
+
"eval_steps_per_second": 5.379,
|
| 7 |
+
"validation_samples": 11873
|
| 8 |
+
}
|