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  1. README.md +207 -15
  2. model.safetensors +1 -1
  3. runs/Apr14_16-43-40_DESKTOP-7EBBP1S/events.out.tfevents.1713084222.DESKTOP-7EBBP1S.1146.6 +2 -2
  4. runs/Apr14_16-43-40_DESKTOP-7EBBP1S/events.out.tfevents.1713087516.DESKTOP-7EBBP1S.1146.7 +3 -0
README.md CHANGED
@@ -2,6 +2,8 @@
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  base_model: dccuchile/bert-base-spanish-wwm-uncased
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: bert-base-spanish-wwm-uncased-finetuned-github_cybersecurity_READMEs
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  results: []
@@ -14,7 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.6423
 
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  ## Model description
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@@ -33,26 +36,215 @@ More information needed
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  ### Training hyperparameters
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35
  The following hyperparameters were used during training:
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- - learning_rate: 2e-05
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- - train_batch_size: 16
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- - eval_batch_size: 16
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  - seed: 42
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- - gradient_accumulation_steps: 2
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- - total_train_batch_size: 32
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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: 500
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- - num_epochs: 5
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss |
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- |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 58 | 4.9842 |
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- | No log | 2.0 | 116 | 3.8913 |
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- | No log | 3.0 | 174 | 3.2654 |
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- | No log | 4.0 | 232 | 2.9281 |
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- | No log | 5.0 | 290 | 2.6200 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
56
 
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  ### Framework versions
 
2
  base_model: dccuchile/bert-base-spanish-wwm-uncased
3
  tags:
4
  - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
  model-index:
8
  - name: bert-base-spanish-wwm-uncased-finetuned-github_cybersecurity_READMEs
9
  results: []
 
16
 
17
  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.3626
20
+ - Accuracy: 0.7721
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 3e-05
40
+ - train_batch_size: 32
41
+ - eval_batch_size: 32
42
  - seed: 42
43
+ - gradient_accumulation_steps: 4
44
+ - total_train_batch_size: 128
45
  - 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: 1000
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+ - num_epochs: 200
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | No log | 0.97 | 14 | 6.6700 | 0.2868 |
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+ | No log | 2.0 | 29 | 6.1329 | 0.3035 |
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+ | No log | 2.97 | 43 | 5.3933 | 0.3612 |
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+ | No log | 4.0 | 58 | 5.0109 | 0.3777 |
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+ | No log | 4.97 | 72 | 4.8244 | 0.3982 |
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+ | No log | 6.0 | 87 | 4.3103 | 0.4191 |
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+ | No log | 6.97 | 101 | 3.9390 | 0.4472 |
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+ | No log | 8.0 | 116 | 3.7105 | 0.4643 |
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+ | No log | 8.97 | 130 | 3.6200 | 0.4682 |
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+ | No log | 10.0 | 145 | 3.3792 | 0.4746 |
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+ | No log | 10.97 | 159 | 3.2035 | 0.5035 |
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+ | No log | 12.0 | 174 | 3.0204 | 0.5292 |
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+ | No log | 12.97 | 188 | 2.9428 | 0.5446 |
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+ | No log | 14.0 | 203 | 2.8275 | 0.5586 |
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+ | No log | 14.97 | 217 | 2.8530 | 0.5389 |
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+ | No log | 16.0 | 232 | 2.7320 | 0.5552 |
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+ | No log | 16.97 | 246 | 2.6976 | 0.5569 |
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+ | No log | 18.0 | 261 | 2.6423 | 0.5672 |
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+ | No log | 18.97 | 275 | 2.5589 | 0.5768 |
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+ | No log | 20.0 | 290 | 2.5393 | 0.5725 |
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+ | No log | 20.97 | 304 | 2.4149 | 0.5883 |
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+ | No log | 22.0 | 319 | 2.3377 | 0.6106 |
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+ | No log | 22.97 | 333 | 2.3686 | 0.6006 |
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+ | No log | 24.0 | 348 | 2.3694 | 0.5896 |
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+ | No log | 24.97 | 362 | 2.3411 | 0.6006 |
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+ | No log | 26.0 | 377 | 2.1990 | 0.6192 |
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+ | No log | 26.97 | 391 | 2.1937 | 0.6187 |
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+ | No log | 28.0 | 406 | 2.1599 | 0.6263 |
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+ | No log | 28.97 | 420 | 2.1169 | 0.6288 |
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+ | No log | 30.0 | 435 | 2.1136 | 0.6363 |
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+ | No log | 30.97 | 449 | 2.1705 | 0.6269 |
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+ | No log | 32.0 | 464 | 1.9909 | 0.6551 |
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+ | No log | 32.97 | 478 | 1.9930 | 0.6452 |
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+ | No log | 34.0 | 493 | 1.9380 | 0.6622 |
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+ | 3.3393 | 34.97 | 507 | 2.0509 | 0.6429 |
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+ | 3.3393 | 36.0 | 522 | 1.9449 | 0.6556 |
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+ | 3.3393 | 46.0 | 667 | 1.7654 | 0.6932 |
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  ### Framework versions
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