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clasificador-muchocine
adaca001/clasificador-muchocine
clasificador-muchocine is a machine learning model from adaca001. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for adapter-transformers.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Jan 23, 2024
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At a glance
- Library
- adapter-transformers
- Model type
- electra
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024
- SHA
- 252fd7c5
Base models
Datasets
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. -->
clasificador-muchocine
This model is a fine-tuned version of mrm8488/electricidad-base-discriminator on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4141
- Accuracy: 0.3639
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 388 | 1.5202 | 0.3381 |
| 1.5131 | 2.0 | 776 | 1.4459 | 0.3394 |
| 1.3789 | 3.0 | 1164 | 1.4141 | 0.3639 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- adapter-transformers
- Type
- electra
- Languages
- en
- Created
- Jan 23, 2024
- Updated
- Jan 23, 2024