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th_cl_13epochs_lora_pos_neg
spjabech/th_cl_13epochs_lora_pos_neg
th_cl_13epochs_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
- 61b4f4b4
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_13epochs_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: 0.9906
- Balanced Accuracy: 0.5119
- Accuracy: 0.5111
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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Balanced Accuracy | Accuracy |
|---|---|---|---|---|---|
| 0.7442 | 1.0 | 32 | 1.0410 | 0.515 | 0.5111 |
| 0.4596 | 2.0 | 64 | 1.0013 | 0.5119 | 0.5111 |
| 0.2864 | 3.0 | 96 | 0.9906 | 0.5119 | 0.5111 |
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