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bert_finetune_onearticle_microbiology

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  1. README.md +26 -38
  2. generation_config.json +1 -1
  3. pytorch_model.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7403
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  ## Model description
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@@ -41,49 +41,37 @@ The following hyperparameters were used during training:
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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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  - lr_scheduler_warmup_steps: 10
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- - num_epochs: 32
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | 0.486 | 1.0 | 6 | 2.5400 |
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- | 1.9032 | 2.0 | 12 | 1.9011 |
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- | 2.9382 | 3.0 | 18 | 2.1867 |
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- | 5.4703 | 4.0 | 24 | 2.4946 |
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- | 1.964 | 5.0 | 30 | 1.5739 |
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- | 4.0165 | 6.0 | 36 | 1.5810 |
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- | 2.7757 | 7.0 | 42 | 2.4484 |
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- | 2.0137 | 8.0 | 48 | 1.5699 |
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- | 1.7907 | 9.0 | 54 | 1.7547 |
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- | 3.0764 | 10.0 | 60 | 1.7922 |
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- | 2.7725 | 11.0 | 66 | 1.5894 |
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- | 0.8548 | 12.0 | 72 | 1.8950 |
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- | 1.5572 | 13.0 | 78 | 1.6139 |
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- | 2.486 | 14.0 | 84 | 1.7091 |
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- | 1.6362 | 15.0 | 90 | 1.3173 |
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- | 1.8335 | 16.0 | 96 | 1.5923 |
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- | 3.1621 | 17.0 | 102 | 1.6523 |
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- | 1.3972 | 18.0 | 108 | 1.9260 |
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- | 3.4137 | 19.0 | 114 | 1.4462 |
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- | 1.1875 | 20.0 | 120 | 1.7407 |
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- | 1.3207 | 21.0 | 126 | 1.3951 |
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- | 1.975 | 22.0 | 132 | 1.4109 |
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- | 3.3132 | 23.0 | 138 | 1.7197 |
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- | 0.5541 | 24.0 | 144 | 1.7220 |
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- | 1.7198 | 25.0 | 150 | 1.8601 |
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- | 0.7996 | 26.0 | 156 | 1.8162 |
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- | 0.3239 | 27.0 | 162 | 1.8700 |
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- | 1.9263 | 28.0 | 168 | 1.6207 |
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- | 1.3799 | 29.0 | 174 | 1.8693 |
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- | 1.9655 | 30.0 | 180 | 1.5762 |
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- | 1.7009 | 31.0 | 186 | 1.2895 |
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- | 1.1962 | 32.0 | 192 | 1.7403 |
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  ### Framework versions
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- - Transformers 4.34.0
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- - Pytorch 2.1.0+cu121
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1
 
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  This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: nan
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  ## Model description
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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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  - lr_scheduler_warmup_steps: 10
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+ - num_epochs: 20
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 1.795 | 1.0 | 1852 | nan |
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+ | 3.0535 | 2.0 | 3704 | nan |
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+ | 0.7993 | 3.0 | 5556 | nan |
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+ | 2.0162 | 4.0 | 7408 | nan |
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+ | 0.4926 | 5.0 | 9260 | nan |
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+ | 1.1474 | 6.0 | 11112 | nan |
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+ | 1.6136 | 7.0 | 12964 | nan |
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+ | 0.9513 | 8.0 | 14816 | nan |
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+ | 1.2026 | 9.0 | 16668 | nan |
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+ | 1.0984 | 10.0 | 18520 | nan |
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+ | 1.0251 | 11.0 | 20372 | nan |
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+ | 1.4456 | 12.0 | 22224 | nan |
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+ | 1.3262 | 13.0 | 24076 | nan |
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+ | 0.0 | 14.0 | 25928 | nan |
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+ | 1.4397 | 15.0 | 27780 | nan |
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+ | 0.1133 | 16.0 | 29632 | nan |
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+ | 0.5759 | 17.0 | 31484 | nan |
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+ | 0.0 | 18.0 | 33336 | nan |
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+ | 1.6357 | 19.0 | 35188 | nan |
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+ | 0.1895 | 20.0 | 37040 | nan |
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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+ - Transformers 4.34.1
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+ - Pytorch 2.0.0+cu117
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  - Datasets 2.14.5
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  - Tokenizers 0.14.1
generation_config.json CHANGED
@@ -1,5 +1,5 @@
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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": "4.34.0"
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  }
 
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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": "4.34.1"
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  }
pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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