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nanom
/
gtp_adaptation_martin_fierro_v2

Text Generation
Transformers
PyTorch
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
5
nanom commited on
Commit
57e949f
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1 Parent(s): c8d6f36

End of training

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Files changed (4) hide show
  1. README.md +7 -7
  2. pytorch_model.bin +1 -1
  3. tokenizer.json +2 -2
  4. 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: 2.5287
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  ## Model description
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@@ -34,7 +34,7 @@ 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: 2.5e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
@@ -46,11 +46,11 @@ 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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- | 2.8091 | 1.0 | 40 | 2.6299 |
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- | 2.3812 | 2.0 | 80 | 2.5587 |
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- | 2.2525 | 3.0 | 120 | 2.5377 |
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- | 2.1789 | 4.0 | 160 | 2.5308 |
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- | 2.1258 | 5.0 | 200 | 2.5287 |
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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: 4.7721
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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: 1.5e-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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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 5.0919 | 1.0 | 40 | 4.9569 |
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+ | 4.7032 | 2.0 | 80 | 4.8517 |
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+ | 4.4604 | 3.0 | 120 | 4.8015 |
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+ | 4.2456 | 4.0 | 160 | 4.7786 |
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+ | 4.2514 | 5.0 | 200 | 4.7721 |
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  ### Framework versions
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tokenizer.json CHANGED
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