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bert_model-1

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bert
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  1. README.md +133 -0
  2. generation_config.json +5 -0
  3. pytorch_model.bin +1 -1
README.md ADDED
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+ ---
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+ license: gpl-3.0
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+ base_model: ckiplab/bert-base-chinese
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: bert_model-1
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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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+ # bert_model-1
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+
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+ This model is a fine-tuned version of [ckiplab/bert-base-chinese](https://huggingface.co/ckiplab/bert-base-chinese) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.4135
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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: 5e-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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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_steps: 100
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+ - num_epochs: 1
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 2.3994 | 0.01 | 100 | 1.6845 |
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+ | 1.8101 | 0.03 | 200 | 1.6963 |
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+ | 1.7742 | 0.04 | 300 | 1.6679 |
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+ | 1.8425 | 0.05 | 400 | 1.6657 |
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+ | 1.8452 | 0.06 | 500 | 1.6369 |
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+ | 1.8109 | 0.08 | 600 | 1.6471 |
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+ | 1.8469 | 0.09 | 700 | 1.6350 |
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+ | 1.7709 | 0.1 | 800 | 1.6302 |
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+ | 1.7848 | 0.12 | 900 | 1.6346 |
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+ | 1.7955 | 0.13 | 1000 | 1.6345 |
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+ | 1.79 | 0.14 | 1100 | 1.6356 |
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+ | 1.7655 | 0.16 | 1200 | 1.6116 |
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+ | 1.7826 | 0.17 | 1300 | 1.6248 |
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+ | 1.7651 | 0.18 | 1400 | 1.6262 |
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+ | 1.7639 | 0.19 | 1500 | 1.6078 |
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+ | 1.7743 | 0.21 | 1600 | 1.6105 |
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+ | 1.7672 | 0.22 | 1700 | 1.5910 |
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+ | 1.7054 | 0.23 | 1800 | 1.6060 |
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+ | 1.6777 | 0.25 | 1900 | 1.6253 |
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+ | 1.748 | 0.26 | 2000 | 1.5970 |
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+ | 1.7503 | 0.27 | 2100 | 1.5893 |
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+ | 1.7329 | 0.29 | 2200 | 1.5883 |
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+ | 1.6826 | 0.3 | 2300 | 1.5781 |
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+ | 1.7237 | 0.31 | 2400 | 1.5716 |
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+ | 1.7358 | 0.32 | 2500 | 1.5671 |
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+ | 1.7093 | 0.34 | 2600 | 1.5689 |
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+ | 1.6771 | 0.35 | 2700 | 1.5654 |
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+ | 1.6924 | 0.36 | 2800 | 1.5729 |
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+ | 1.6768 | 0.38 | 2900 | 1.5545 |
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+ | 1.7158 | 0.39 | 3000 | 1.5471 |
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+ | 1.6808 | 0.4 | 3100 | 1.5415 |
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+ | 1.6547 | 0.42 | 3200 | 1.5444 |
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+ | 1.6557 | 0.43 | 3300 | 1.5400 |
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+ | 1.6491 | 0.44 | 3400 | 1.5358 |
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+ | 1.6757 | 0.45 | 3500 | 1.5244 |
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+ | 1.6473 | 0.47 | 3600 | 1.5268 |
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+ | 1.5987 | 0.48 | 3700 | 1.5201 |
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+ | 1.6386 | 0.49 | 3800 | 1.5121 |
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+ | 1.6568 | 0.51 | 3900 | 1.5004 |
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+ | 1.6454 | 0.52 | 4000 | 1.4895 |
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+ | 1.6175 | 0.53 | 4100 | 1.4974 |
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+ | 1.6036 | 0.55 | 4200 | 1.4964 |
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+ | 1.5785 | 0.56 | 4300 | 1.4882 |
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+ | 1.6009 | 0.57 | 4400 | 1.4858 |
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+ | 1.5723 | 0.58 | 4500 | 1.4755 |
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+ | 1.6133 | 0.6 | 4600 | 1.4751 |
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+ | 1.5683 | 0.61 | 4700 | 1.4692 |
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+ | 1.5773 | 0.62 | 4800 | 1.4677 |
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+ | 1.6005 | 0.64 | 4900 | 1.4645 |
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+ | 1.5812 | 0.65 | 5000 | 1.4596 |
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+ | 1.577 | 0.66 | 5100 | 1.4506 |
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+ | 1.591 | 0.68 | 5200 | 1.4507 |
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+ | 1.5609 | 0.69 | 5300 | 1.4474 |
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+ | 1.5437 | 0.7 | 5400 | 1.4441 |
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+ | 1.5535 | 0.71 | 5500 | 1.4430 |
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+ | 1.5882 | 0.73 | 5600 | 1.4398 |
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+ | 1.5731 | 0.74 | 5700 | 1.4328 |
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+ | 1.5511 | 0.75 | 5800 | 1.4280 |
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+ | 1.5455 | 0.77 | 5900 | 1.4358 |
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+ | 1.5194 | 0.78 | 6000 | 1.4321 |
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+ | 1.5524 | 0.79 | 6100 | 1.4207 |
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+ | 1.5406 | 0.81 | 6200 | 1.4215 |
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+ | 1.4811 | 0.82 | 6300 | 1.4293 |
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+ | 1.5117 | 0.83 | 6400 | 1.4282 |
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+ | 1.5197 | 0.84 | 6500 | 1.4109 |
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+ | 1.558 | 0.86 | 6600 | 1.4241 |
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+ | 1.5277 | 0.87 | 6700 | 1.4116 |
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+ | 1.5346 | 0.88 | 6800 | 1.4190 |
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+ | 1.4974 | 0.9 | 6900 | 1.4105 |
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+ | 1.5345 | 0.91 | 7000 | 1.4163 |
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+ | 1.5578 | 0.92 | 7100 | 1.4099 |
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+ | 1.496 | 0.94 | 7200 | 1.4120 |
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+ | 1.5192 | 0.95 | 7300 | 1.4073 |
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+ | 1.456 | 0.96 | 7400 | 1.4105 |
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+ | 1.4821 | 0.97 | 7500 | 1.4175 |
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+ | 1.5331 | 0.99 | 7600 | 1.4135 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.32.1
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+ - Pytorch 2.1.0
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "pad_token_id": 0,
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+ "transformers_version": "4.32.1"
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+ }
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