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data_laundry

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bert
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data_laundry

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  1. README.md +24 -24
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -20,7 +20,7 @@ model-index:
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  metrics:
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  - name: F1
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  type: f1
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- value: 0.3991332354329
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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
@@ -30,8 +30,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [](https://huggingface.co/) on the massive dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 3.0549
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- - F1: 0.3991
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  ## Model description
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@@ -50,7 +50,7 @@ More information needed
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  ### Training hyperparameters
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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
@@ -63,26 +63,26 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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- | 6.3894 | 0.5 | 719 | 6.2745 | 0.0022 |
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- | 6.2271 | 1.0 | 1438 | 6.0229 | 0.0169 |
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- | 5.6161 | 1.5 | 2157 | 5.3477 | 0.0599 |
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- | 5.0965 | 2.0 | 2876 | 4.8682 | 0.1455 |
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- | 4.6305 | 2.5 | 3595 | 4.4825 | 0.1606 |
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- | 4.2974 | 3.0 | 4314 | 4.2090 | 0.1630 |
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- | 4.0356 | 3.5 | 5033 | 3.9969 | 0.1894 |
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- | 3.8715 | 3.99 | 5752 | 3.8407 | 0.2169 |
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- | 3.694 | 4.49 | 6471 | 3.7069 | 0.2556 |
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- | 3.57 | 4.99 | 7190 | 3.5770 | 0.2831 |
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- | 3.4373 | 5.49 | 7909 | 3.4754 | 0.3116 |
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- | 3.3412 | 5.99 | 8628 | 3.3869 | 0.3247 |
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- | 3.2284 | 6.49 | 9347 | 3.3088 | 0.3459 |
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- | 3.1633 | 6.99 | 10066 | 3.2393 | 0.3469 |
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- | 3.0884 | 7.49 | 10785 | 3.1794 | 0.3602 |
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- | 3.0573 | 7.99 | 11504 | 3.1352 | 0.3754 |
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- | 2.9886 | 8.49 | 12223 | 3.1000 | 0.3784 |
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- | 2.9724 | 8.99 | 12942 | 3.0756 | 0.3925 |
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- | 2.9538 | 9.49 | 13661 | 3.0605 | 0.3980 |
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- | 2.902 | 9.99 | 14380 | 3.0549 | 0.3991 |
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  ### Framework versions
 
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  metrics:
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  - name: F1
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  type: f1
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+ value: 0.7982630095389778
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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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  This model is a fine-tuned version of [](https://huggingface.co/) on the massive dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.0394
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+ - F1: 0.7983
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.001
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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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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:-----:|:---------------:|:------:|
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+ | 5.4021 | 0.5 | 719 | 4.2520 | 0.1592 |
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+ | 3.5936 | 1.0 | 1438 | 3.0222 | 0.4171 |
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+ | 2.6221 | 1.5 | 2157 | 2.2881 | 0.5433 |
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+ | 2.1941 | 2.0 | 2876 | 2.0383 | 0.6238 |
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+ | 1.8688 | 2.5 | 3595 | 1.7730 | 0.6562 |
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+ | 1.7334 | 3.0 | 4314 | 1.6450 | 0.6885 |
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+ | 1.5359 | 3.5 | 5033 | 1.5398 | 0.7121 |
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+ | 1.4867 | 3.99 | 5752 | 1.4296 | 0.7324 |
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+ | 1.353 | 4.49 | 6471 | 1.3721 | 0.7393 |
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+ | 1.3088 | 4.99 | 7190 | 1.3110 | 0.7530 |
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+ | 1.2006 | 5.49 | 7909 | 1.2633 | 0.7482 |
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+ | 1.1845 | 5.99 | 8628 | 1.2417 | 0.7635 |
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+ | 1.111 | 6.49 | 9347 | 1.2015 | 0.7795 |
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+ | 1.0722 | 6.99 | 10066 | 1.1605 | 0.7813 |
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+ | 1.0121 | 7.49 | 10785 | 1.1383 | 0.7781 |
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+ | 1.018 | 7.99 | 11504 | 1.1024 | 0.7990 |
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+ | 0.9202 | 8.49 | 12223 | 1.0905 | 0.7898 |
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+ | 0.9639 | 8.99 | 12942 | 1.0695 | 0.7967 |
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+ | 0.915 | 9.49 | 13661 | 1.0444 | 0.7935 |
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+ | 0.8743 | 9.99 | 14380 | 1.0394 | 0.7983 |
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  ### Framework versions
pytorch_model.bin CHANGED
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