Llama-3-8B_civic_discussion_qlora
This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9642
- Model Preparation Time: 0.0063
- Rouge1: 64.1464
- Rouge2: 24.9084
- Rougel: 45.772
- Rougelsum: 62.0758
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.2
- Pytorch 2.5.0+cu124
- Datasets 3.0.2
- Tokenizers 0.20.1
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Model tree for lschimmelpfe/Llama-3-8B_civic_discussion_qlora
Base model
meta-llama/Meta-Llama-3-8B