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th_cl_23epochs_lora_pos_neg
spjabech/th_cl_23epochs_lora_pos_neg
th_cl_23epochs_lora_pos_neg is a machine learning model from spjabech. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama3
- Access
- Public
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024
- SHA
- ba0d241e
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. -->
th_cl_23epochs_lora_pos_neg
This model is a fine-tuned version of gradientai/Llama-3-8B-Instruct-262k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1121
- Balanced Accuracy: 0.47
- Accuracy: 0.4667
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: 0.0001
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| 0.5546 | 1.0 | 32 | 1.0124 | 0.4911 | 0.4889 |
| 0.3157 | 2.0 | 64 | 1.0066 | 0.4722 | 0.4667 |
| 0.1355 | 3.0 | 96 | 0.9881 | 0.5977 | 0.6 |
| 0.0512 | 4.0 | 128 | 1.1006 | 0.5536 | 0.5556 |
| 0.0605 | 5.0 | 160 | 1.1121 | 0.47 | 0.4667 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3
- Created
- Aug 26, 2024
- Updated
- Aug 26, 2024