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LeninGF
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fge-robos-qa-model

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  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Feb04_16-45-15_447c5f9076b1/events.out.tfevents.1738687548.447c5f9076b1.2059.0 +3 -0
  4. runs/Feb04_16-45-15_447c5f9076b1/events.out.tfevents.1738687710.447c5f9076b1.2059.1 +3 -0
  5. runs/Feb04_16-45-15_447c5f9076b1/events.out.tfevents.1738689171.447c5f9076b1.2059.2 +3 -0
  6. training_args.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 [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.6598
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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: 3e-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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | No log | 1.0 | 458 | 0.3197 |
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- | 0.4949 | 2.0 | 916 | 0.2834 |
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- | 0.3139 | 3.0 | 1374 | 0.3173 |
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- | 0.2771 | 4.0 | 1832 | 0.3665 |
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- | 0.19 | 5.0 | 2290 | 0.4867 |
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- | 0.1514 | 6.0 | 2748 | 0.4917 |
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- | 0.1072 | 7.0 | 3206 | 0.5220 |
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- | 0.0699 | 8.0 | 3664 | 0.5807 |
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- | 0.0477 | 9.0 | 4122 | 0.6481 |
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- | 0.0217 | 10.0 | 4580 | 0.6598 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 1.8956
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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: 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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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
 
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 229 | 1.0382 |
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+ | No log | 2.0 | 458 | 1.0590 |
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+ | 0.6421 | 3.0 | 687 | 1.1701 |
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+ | 0.6421 | 4.0 | 916 | 1.3936 |
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+ | 0.4066 | 5.0 | 1145 | 1.5411 |
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+ | 0.4066 | 6.0 | 1374 | 1.5978 |
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+ | 0.2398 | 7.0 | 1603 | 1.7463 |
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+ | 0.2398 | 8.0 | 1832 | 1.8142 |
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+ | 0.1561 | 9.0 | 2061 | 1.8658 |
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+ | 0.1561 | 10.0 | 2290 | 1.8956 |
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  ### Framework versions
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