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ft-raft-lora
Kota123/ft-raft-lora
ft-raft-lora is a machine learning model from Kota123. 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
- Sep 9, 2024
- Updated
- Sep 9, 2024
- SHA
- 2df1c95a
Base models
Datasets
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. -->
ft-raft-lora
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the generator dataset. It achieves the following results on the evaluation set:
- Loss: 0.1402
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 1399
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 500
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.8153 | 0.8696 | 20 | 1.6376 |
| 1.3735 | 1.7391 | 40 | 1.1018 |
| 0.7809 | 2.6087 | 60 | 0.4950 |
| 0.3055 | 3.4783 | 80 | 0.2025 |
| 0.1425 | 4.3478 | 100 | 0.1491 |
| 0.105 | 5.2174 | 120 | 0.1422 |
| 0.0755 | 6.0870 | 140 | 0.1377 |
| 0.0602 | 6.9565 | 160 | 0.1402 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Library
- peft
- License
- llama3.1
- Created
- Sep 9, 2024
- Updated
- Sep 9, 2024