This model is a fine-tuned version of pavan-naik/gemma-3-1b-it-exp-focus-mn-pt on the fine-tuning-en-mai-train and the fine-tuning-en-mai-valid datasets.
It achieves the following results on the evaluation set:
Loss: 1.5916
Num Input Tokens Seen: 9618672
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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
