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bert-leg-al-perplexity

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End of training

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  1. README.md +9 -14
  2. model.safetensors +1 -1
  3. runs/Apr18_10-05-44_8b70dbb11497/events.out.tfevents.1713434751.8b70dbb11497.10201.10 +2 -2
  4. runs/Apr18_10-05-44_8b70dbb11497/events.out.tfevents.1713435187.8b70dbb11497.10201.11 +3 -0
  5. runs/Apr18_10-13-40_8b70dbb11497/events.out.tfevents.1713435230.8b70dbb11497.10201.12 +3 -0
  6. runs/Apr18_10-13-40_8b70dbb11497/events.out.tfevents.1713435423.8b70dbb11497.10201.13 +3 -0
  7. training_args.bin +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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- base_model: PlanTL-GOB-ES/RoBERTalex
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  model-index:
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  - name: bert-leg-al-perplexity
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  results: []
@@ -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 [PlanTL-GOB-ES/RoBERTalex](https://huggingface.co/PlanTL-GOB-ES/RoBERTalex) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.2847
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  ## Model description
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@@ -34,28 +34,23 @@ 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: 2e-05
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  - train_batch_size: 16
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  - eval_batch_size: 8
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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: 10
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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 | 63 | 2.2991 |
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- | No log | 2.0 | 126 | 2.2166 |
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- | No log | 3.0 | 189 | 2.2588 |
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- | No log | 4.0 | 252 | 2.2696 |
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- | No log | 5.0 | 315 | 2.2644 |
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- | No log | 6.0 | 378 | 2.2863 |
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- | No log | 7.0 | 441 | 2.1620 |
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- | 1.8902 | 8.0 | 504 | 2.1397 |
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- | 1.8902 | 9.0 | 567 | 2.2047 |
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- | 1.8902 | 10.0 | 630 | 2.2127 |
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  ### Framework versions
 
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  ---
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  license: apache-2.0
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+ base_model: PlanTL-GOB-ES/RoBERTalex
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  tags:
5
  - generated_from_trainer
 
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  model-index:
7
  - name: bert-leg-al-perplexity
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  results: []
 
15
 
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  This model is a fine-tuned version of [PlanTL-GOB-ES/RoBERTalex](https://huggingface.co/PlanTL-GOB-ES/RoBERTalex) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.6579
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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-06
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  - train_batch_size: 16
39
  - eval_batch_size: 8
40
  - seed: 42
41
  - 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 |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 63 | 2.6729 |
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+ | No log | 2.0 | 126 | 2.6092 |
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+ | No log | 3.0 | 189 | 2.6162 |
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+ | No log | 4.0 | 252 | 2.6543 |
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+ | No log | 5.0 | 315 | 2.5578 |
 
 
 
 
 
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  ### Framework versions
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