This model is a fine-tuned version of meta-llama/Meta-Llama-3-8B-Instruct on the envbench_weave_2500 dataset.
It achieves the following results on the evaluation set:
Loss: 0.3917
Accuracy: 0.8915
Num Input Tokens Seen: 74168936
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
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 4
total_train_batch_size: 16
total_eval_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
