work1/deming/shared/medusa-Llama-2-70b-chat-hf-stage1-4k-lr0.0001
This model is a fine-tuned version of meta-llama/Llama-2-70b-chat-hf 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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 20
- num_epochs: 1
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.43.0
- Pytorch 2.5.1+rocm6.2
- Datasets 3.2.0
- Tokenizers 0.19.1
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meta-llama/Llama-2-70b-chat-hf