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gpt-model-mesa-ayuda
asquevedos/gpt-model-mesa-ayuda
gpt-model-mesa-ayuda is a machine learning model from asquevedos. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- mpnet
- Access
- Public
- Created
- Aug 7, 2024
- Updated
- Aug 8, 2024
- SHA
- 9692c631
Base models
Model card
From the Hugging Face model README
<!-- 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. -->
gpt-model-mesa-ayuda
This model is a fine-tuned version of sentence-transformers/all-mpnet-base-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3306
- Accuracy: 0.9095
- F1: 0.9072
- Precision: 0.9081
- Recall: 0.9095
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: 22
- eval_batch_size: 22
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 1.123 | 1.0 | 4351 | 0.9982 | 0.7162 | 0.6951 | 0.7123 | 0.7162 |
| 0.6193 | 2.0 | 8702 | 0.5621 | 0.8358 | 0.8311 | 0.8372 | 0.8358 |
| 0.3522 | 3.0 | 13053 | 0.4282 | 0.8774 | 0.8738 | 0.8758 | 0.8774 |
| 0.2747 | 4.0 | 17404 | 0.3633 | 0.8986 | 0.8959 | 0.8970 | 0.8986 |
| 0.1707 | 5.0 | 21755 | 0.3306 | 0.9095 | 0.9072 | 0.9081 | 0.9095 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Type
- mpnet
- License
- apache-2.0
- Created
- Aug 7, 2024
- Updated
- Aug 8, 2024