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Llama3-q4_k_m
PiGrieco/Llama3-q4_k_m
Llama3-q4_k_m is a text classification model from PiGrieco. 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
- roberta
- Access
- Public
- Created
- May 27, 2024
- Updated
- Jun 7, 2024
- SHA
- 387a0ffa
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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. -->
Llama3-q4_k_m
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0938
- Accuracy: 0.9825
- F1: 0.9827
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: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3823 | 1.0 | 129 | 0.1932 | 0.9532 | 0.9535 |
| 0.1585 | 2.0 | 258 | 0.3872 | 0.8977 | 0.9057 |
| 0.3048 | 3.0 | 387 | 0.1816 | 0.9474 | 0.9477 |
| 0.2353 | 4.0 | 516 | 0.1817 | 0.9591 | 0.9605 |
| 0.2928 | 5.0 | 645 | 0.2058 | 0.9503 | 0.9524 |
| 0.2452 | 6.0 | 774 | 0.1246 | 0.9737 | 0.9742 |
| 0.348 | 7.0 | 903 | 0.0932 | 0.9825 | 0.9827 |
| 0.1316 | 8.0 | 1032 | 0.0938 | 0.9825 | 0.9827 |
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
- roberta
- License
- mit
- Created
- May 27, 2024
- Updated
- Jun 7, 2024