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nanom
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gtp_adaptation_martin_fierro_v2

Text Generation
Transformers
PyTorch
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
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nanom commited on
Commit
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1 Parent(s): 7c37dfc

End of training

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Files changed (3) hide show
  1. README.md +9 -13
  2. pytorch_model.bin +1 -1
  3. 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 [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.5701
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  ## Model description
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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: 32
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- - eval_batch_size: 32
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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: 9
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.9511 | 1.0 | 10 | 2.8409 |
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- | 2.7597 | 2.0 | 20 | 2.7089 |
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- | 2.6189 | 3.0 | 30 | 2.6518 |
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- | 2.5426 | 4.0 | 40 | 2.6172 |
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- | 2.4481 | 5.0 | 50 | 2.5969 |
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- | 2.4149 | 6.0 | 60 | 2.5836 |
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- | 2.3332 | 7.0 | 70 | 2.5756 |
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- | 2.2836 | 8.0 | 80 | 2.5715 |
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- | 2.2832 | 9.0 | 90 | 2.5701 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [DeepESP/gpt2-spanish](https://huggingface.co/DeepESP/gpt2-spanish) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.5855
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  ## Model description
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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: 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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+ | 2.8153 | 1.0 | 20 | 2.7398 |
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+ | 2.6191 | 2.0 | 40 | 2.6462 |
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+ | 2.5068 | 3.0 | 60 | 2.6071 |
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+ | 2.453 | 4.0 | 80 | 2.5908 |
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+ | 2.3603 | 5.0 | 100 | 2.5855 |
 
 
 
 
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  ### Framework versions
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