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README.md
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---
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license: apache-2.0
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base_model: sentence-transformers/all-mpnet-base-v2
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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- f1
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- precision
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- recall
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model-index:
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- name: gpt-model-mesa-ayuda
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gpt-model-mesa-ayuda
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This model is a fine-tuned version of [sentence-transformers/all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3306
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- Accuracy: 0.9095
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- F1: 0.9072
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- Precision: 0.9081
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- Recall: 0.9095
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 22
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- eval_batch_size: 22
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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 | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 1.123 | 1.0 | 4351 | 0.9982 | 0.7162 | 0.6951 | 0.7123 | 0.7162 |
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| 0.6193 | 2.0 | 8702 | 0.5621 | 0.8358 | 0.8311 | 0.8372 | 0.8358 |
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| 0.3522 | 3.0 | 13053 | 0.4282 | 0.8774 | 0.8738 | 0.8758 | 0.8774 |
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| 0.2747 | 4.0 | 17404 | 0.3633 | 0.8986 | 0.8959 | 0.8970 | 0.8986 |
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| 0.1707 | 5.0 | 21755 | 0.3306 | 0.9095 | 0.9072 | 0.9081 | 0.9095 |
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### Framework versions
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- Transformers 4.39.3
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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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