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llama_sequence_classification_0.001
thenlpresearcher/llama_sequence_classification_0.001
llama_sequence_classification_0.001 is a machine learning model from thenlpresearcher. 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 peft. The card lists the license as llama3.1.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3.1
- Access
- Public
- Created
- Feb 6, 2025
- Updated
- Feb 7, 2025
- SHA
- acf6d61d
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. -->
llama_sequence_classification_0.001
This model is a fine-tuned version of meta-llama/Llama-3.1-8B on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6358
- Pearson: 0.8409
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: 0.001
- train_batch_size: 32
- 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 | Pearson |
|---|---|---|---|---|
| No log | 1.0 | 206 | 2.3639 | -0.0967 |
| No log | 2.0 | 412 | 1.1565 | 0.5814 |
| 1.1834 | 3.0 | 618 | 0.6501 | 0.8695 |
| 1.1834 | 4.0 | 824 | 1.6244 | 0.7826 |
| 0.8975 | 5.0 | 1030 | 0.6358 | 0.8409 |
Framework versions
- PEFT 0.14.0
- Transformers 4.45.2
- Pytorch 2.4.0a0+f70bd71a48.nv24.06
- Datasets 3.2.0
- Tokenizers 0.20.3
- Library
- peft
- License
- llama3.1
- Created
- Feb 6, 2025
- Updated
- Feb 7, 2025