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email-model
vedaantp/email-model
email-model is a text classification model from vedaantp. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as llama3.2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- llama3.2
- Model type
- llama
- Access
- Public
- Created
- Sep 27, 2024
- Updated
- Sep 29, 2024
- SHA
- b45f1a97
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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. -->
email-model
This model is a fine-tuned version of meta-llama/Llama-3.2-1B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9912
- Accuracy: 0.7440
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: 1
- 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 |
|---|---|---|---|---|
| 2.6084 | 1.0 | 540 | 1.3931 | 0.3155 |
| 1.308 | 2.0 | 1080 | 0.8074 | 0.5893 |
| 0.9603 | 3.0 | 1620 | 1.0167 | 0.6012 |
| 0.9051 | 4.0 | 2160 | 0.8432 | 0.5952 |
| 0.9171 | 5.0 | 2700 | 0.9912 | 0.7440 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- llama
- License
- llama3.2
- Created
- Sep 27, 2024
- Updated
- Sep 29, 2024