Llama3.1-8b-instruct-SFT-2024-09-19_LoRAs_r32
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1544
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: 1e-05
- train_batch_size: 6
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1.5
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
1.571 | 0.0793 | 1000 | 1.4287 |
1.3921 | 0.1586 | 2000 | 1.3664 |
1.3336 | 0.2380 | 3000 | 1.3296 |
1.2962 | 0.3173 | 4000 | 1.3049 |
1.2721 | 0.3966 | 5000 | 1.2862 |
1.2481 | 0.4759 | 6000 | 1.2782 |
1.2365 | 0.5552 | 7000 | 1.2647 |
1.2117 | 0.6346 | 8000 | 1.2509 |
1.1997 | 0.7139 | 9000 | 1.2259 |
1.197 | 0.7932 | 10000 | 1.2185 |
1.1707 | 0.8725 | 11000 | 1.2055 |
1.165 | 0.9519 | 12000 | 1.1917 |
1.1348 | 1.0312 | 13000 | 1.1837 |
1.1124 | 1.1105 | 14000 | 1.1803 |
1.1063 | 1.1898 | 15000 | 1.1705 |
1.0954 | 1.2691 | 16000 | 1.1635 |
1.087 | 1.3485 | 17000 | 1.1581 |
1.0834 | 1.4278 | 18000 | 1.1544 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.0.1+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for ccibeekeoc42/Llama3.1-8b-instruct-SFT-2024-09-19_LoRAs_r32
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct