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mi-modelo1
miguelpezo/mi-modelo1
mi-modelo1 is a text classification model from miguelpezo. Use it when you need a label for a piece of text. It is set up for transformers. 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
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024
- SHA
- 550e8961
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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. -->
mi-modelo1
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0939
- Accuracy: 0.58
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.6375 | 0.0794 | 5 | 1.6081 | 0.24 |
| 1.6911 | 0.1587 | 10 | 1.6655 | 0.16 |
| 1.575 | 0.2381 | 15 | 1.6543 | 0.12 |
| 1.6093 | 0.3175 | 20 | 1.5761 | 0.26 |
| 1.6087 | 0.3968 | 25 | 1.6248 | 0.16 |
| 1.599 | 0.4762 | 30 | 1.5332 | 0.26 |
| 1.4758 | 0.5556 | 35 | 1.5306 | 0.22 |
| 1.4703 | 0.6349 | 40 | 1.4518 | 0.38 |
| 1.3772 | 0.7143 | 45 | 1.4667 | 0.36 |
| 1.3684 | 0.7937 | 50 | 1.2958 | 0.46 |
| 1.3424 | 0.8730 | 55 | 1.2357 | 0.54 |
| 1.1519 | 0.9524 | 60 | 1.2225 | 0.4 |
| 1.2155 | 1.0317 | 65 | 1.2935 | 0.44 |
| 1.1338 | 1.1111 | 70 | 1.2385 | 0.46 |
| 0.9475 | 1.1905 | 75 | 1.2178 | 0.48 |
| 1.1416 | 1.2698 | 80 | 1.1827 | 0.54 |
| 1.0356 | 1.3492 | 85 | 1.1877 | 0.48 |
| 0.9425 | 1.4286 | 90 | 1.2792 | 0.48 |
| 0.9483 | 1.5079 | 95 | 1.1415 | 0.48 |
| 0.8521 | 1.5873 | 100 | 1.1022 | 0.52 |
| 1.0157 | 1.6667 | 105 | 1.0822 | 0.54 |
| 0.9658 | 1.7460 | 110 | 1.1041 | 0.56 |
| 0.9685 | 1.8254 | 115 | 1.1032 | 0.58 |
| 1.0679 | 1.9048 | 120 | 1.0945 | 0.58 |
| 1.0344 | 1.9841 | 125 | 1.0939 | 0.58 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 6, 2024
- Updated
- Jun 6, 2024