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test-trainer
abischoff/test-trainer
test-trainer is a text classification model from abischoff. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- xlm-roberta
- Access
- Public
- Created
- Oct 15, 2024
- Updated
- Feb 10, 2025
- SHA
- eb40e144
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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. -->
test-trainer
This model is a fine-tuned version of xlm-roberta-base on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.0057
- Mse: 0.1064
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 8
- 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 | Mse |
|---|---|---|---|---|
| 0.0041 | 1.0 | 25720 | 0.0053 | 0.1029 |
| 0.0033 | 2.0 | 51440 | 0.0061 | 0.1105 |
| 0.0042 | 3.0 | 77160 | 0.0061 | 0.1106 |
| 0.0037 | 4.0 | 102880 | 0.0055 | 0.1044 |
| 0.0037 | 5.0 | 128600 | 0.0057 | 0.1064 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- xlm-roberta
- License
- mit
- Created
- Oct 15, 2024
- Updated
- Feb 10, 2025