Fede-ezeq commited on
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1 Parent(s): a0a2123

End of training

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README.md CHANGED
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  ---
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- license: apache-2.0
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- base_model: distilbert-base-uncased
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -13,9 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # my_awesome_qa_model
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.7244
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  ## Model description
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@@ -46,14 +45,14 @@ 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 | 250 | 2.5349 |
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- | 2.8186 | 2.0 | 500 | 1.7933 |
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- | 2.8186 | 3.0 | 750 | 1.7244 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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- - Datasets 2.18.0
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  - Tokenizers 0.15.2
 
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  ---
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+ base_model: dccuchile/distilbert-base-spanish-uncased
 
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  tags:
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  - generated_from_trainer
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  model-index:
 
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  # my_awesome_qa_model
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+ This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.8372
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | No log | 1.0 | 250 | 3.3853 |
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+ | 3.5403 | 2.0 | 500 | 2.9360 |
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+ | 3.5403 | 3.0 | 750 | 2.8372 |
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  ### Framework versions
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  - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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+ - Datasets 2.19.0
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  - Tokenizers 0.15.2
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