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MKS3099
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bert-base-uncased-finetuned-stationary-epoch-update

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  1. README.md +9 -19
  2. model.safetensors +1 -1
  3. runs/Dec20_13-05-50_c76653bfe8be/events.out.tfevents.1703077556.c76653bfe8be.551.1 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.0945
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- - Accuracy: 0.8167
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- - F1: 0.8090
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  ## Model description
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@@ -45,27 +45,17 @@ The following hyperparameters were used during training:
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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: linear
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- - num_epochs: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.6008 | 1.0 | 38 | 0.5006 | 0.7267 | 0.6924 |
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- | 0.4314 | 2.0 | 76 | 0.4429 | 0.81 | 0.8107 |
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- | 0.3104 | 3.0 | 114 | 0.4770 | 0.8067 | 0.8005 |
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- | 0.1893 | 4.0 | 152 | 0.6433 | 0.81 | 0.7985 |
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- | 0.1103 | 5.0 | 190 | 0.7405 | 0.8 | 0.7841 |
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- | 0.0708 | 6.0 | 228 | 0.7971 | 0.8133 | 0.8025 |
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- | 0.0464 | 7.0 | 266 | 0.9670 | 0.79 | 0.7727 |
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- | 0.0224 | 8.0 | 304 | 1.0068 | 0.8067 | 0.7964 |
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- | 0.0163 | 9.0 | 342 | 0.9835 | 0.8033 | 0.7959 |
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- | 0.0182 | 10.0 | 380 | 1.0203 | 0.8067 | 0.7981 |
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- | 0.0118 | 11.0 | 418 | 1.0874 | 0.8133 | 0.8034 |
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- | 0.0052 | 12.0 | 456 | 1.1500 | 0.81 | 0.7985 |
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- | 0.0052 | 13.0 | 494 | 1.0991 | 0.8167 | 0.8082 |
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- | 0.0076 | 14.0 | 532 | 1.1015 | 0.82 | 0.8104 |
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- | 0.0037 | 15.0 | 570 | 1.0945 | 0.8167 | 0.8090 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.4848
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+ - Accuracy: 0.81
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+ - F1: 0.8070
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  ## Model description
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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: linear
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+ - num_epochs: 5
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5929 | 1.0 | 38 | 0.4930 | 0.7567 | 0.7336 |
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+ | 0.4451 | 2.0 | 76 | 0.4422 | 0.8067 | 0.8076 |
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+ | 0.3475 | 3.0 | 114 | 0.4470 | 0.81 | 0.8115 |
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+ | 0.2764 | 4.0 | 152 | 0.5021 | 0.78 | 0.7693 |
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+ | 0.2205 | 5.0 | 190 | 0.4848 | 0.81 | 0.8070 |
 
 
 
 
 
 
 
 
 
 
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  ### Framework versions
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