output
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the legal_summarization 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: 5e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.34.1
- Pytorch 2.2.0.dev20231018+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
Model tree for ProHax/output
Base model
meta-llama/Llama-2-7b-hf