big_cc_run-FineLlama-3.1-8B
This model is a fine-tuned version of unsloth/Meta-Llama-3.1-8B-bnb-4bit on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7310
Model description
More information needed
Intended uses & limitations
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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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6386 | 0.6010 | 2000 | 1.6279 |
| 1.4331 | 1.2019 | 4000 | 1.6245 |
| 1.4318 | 1.8029 | 6000 | 1.6134 |
| 1.1633 | 2.4038 | 8000 | 1.7310 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for emessy/big_cc_run-FineLlama-3.1-8B
Base model
meta-llama/Llama-3.1-8B
Quantized
unsloth/Meta-Llama-3.1-8B-bnb-4bit