llama_finetuned_unsupervised-test
This model is a fine-tuned version of meta-llama/Meta-Llama-3.1-8B-Instruct on the None dataset.
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
- lr_scheduler_warmup_steps: 100
- num_epochs: 1
Training results
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 1.14.0a0+410ce96
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for KuNN0911/llama_finetuned_unsupervised-test
Base model
meta-llama/Llama-3.1-8B
Finetuned
meta-llama/Llama-3.1-8B-Instruct