PanditaInfernal/punctuation_model_v3-long

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: datificate/gpt2-small-spanish
+tags:
+- generated_from_trainer
+model-index:
+- name: punctuation_model_v3-long
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# punctuation_model_v3-long
+
+This model is a fine-tuned version of [datificate/gpt2-small-spanish](https://huggingface.co/datificate/gpt2-small-spanish) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3372
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 6
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.3454        | 1.0   | 750  | 0.2582          |
+| 0.2433        | 2.0   | 1500 | 0.2912          |
+| 0.1554        | 3.0   | 2250 | 0.3372          |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.2.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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