This model is a fine-tuned version of Serega6678/M7Bv01_SFT_50pct_LORA_BF16_FA_2H100 on the HuggingFaceH4/ultrachat_200k dataset.
It achieves the following results on the evaluation set:
Loss: 1.0098
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: 2e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 2
total_train_batch_size: 64
total_eval_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
