This model is a fine-tuned version of ontocord/1.7b-MixtureVitae-300BT-v1 on the smoltalk, the longalign and the sealong datasets.
The model extends the context length of base model from 4096 to 16384 tokens.
NOTE: Because the post-training data is no longer strictly public domain, cc-by and .gov, please do not depend on these constraints on the model output. This is an experimental model.
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: 4
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
gradient_accumulation_steps: 2
total_train_batch_size: 512
total_eval_batch_size: 512
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
