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llama3.2-1b-emotion-analysis-6000-samples
garypak/llama3.2-1b-emotion-analysis-6000-samples
llama3.2-1b-emotion-analysis-6000-samples is a machine learning model from garypak. 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 transformers. The card lists the license as llama3.2.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Nov 14, 2024
Repo size
9.9 GB
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At a glance
- Library
- transformers
- License
- llama3.2
- Access
- Public
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- 1e4fdf53
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. -->
llama3.2-1b-emotion-analysis-6000-samples
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: 2.1378
- Accuracy: 0.3147
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: 3e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 3.0847 | 0.9981 | 328 | 2.1686 | 0.3147 |
| 2.3255 | 1.9992 | 657 | 2.3109 | 0.1272 |
| 2.1726 | 2.9943 | 984 | 2.1378 | 0.3147 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Library
- transformers
- License
- llama3.2
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024