animal_guessing
This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on the animal_train 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: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.02
- num_epochs: 1.0
Training results
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.2.0
- Datasets 2.19.0
- Tokenizers 0.19.1
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Model tree for thunha/llama2-7b-hf-train
Base model
meta-llama/Llama-2-7b-hf