LLama2_7b_Jukabo_ft_mlsum_hf
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on the mlsum 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: 0.0002
- train_batch_size: 1
- eval_batch_size: 8
- 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
- lr_scheduler_warmup_steps: 2
- training_steps: 10
Training results
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
Inference Providers
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Model tree for Jukaboo/LLama2_7b_Jukabo_ft_mlsum_hf
Base model
meta-llama/Llama-2-7b-chat-hf