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Model Details
This Model is designed to explain the intent of shell/bash commands.
Run summary:
eval/accuracy 0.98692
eval/loss 0.03852
eval/runtime 46.3558
eval/samples_per_second 18.142
eval/steps_per_second 4.552
train/epoch 3
train/global_step 2271
train/grad_norm 0.00862
train/learning_rate 0.0
train/loss 0.0014
train/total_flos 1.7588107178855055e+18
train/train_loss 0.07747
train/train_runtime 1614.2767
train/train_samples_per_second 14.057
train/train_steps_per_second 1.407
metrics
learning_rate=2e-5,
per_device_train_batch_size=10,
per_device_eval_batch_size=4,
num_train_epochs=3,
weight_decay=0.01,
load_best_model_at_end=True,
metric_for_best_model="accuracy",
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Model tree for KakashiH/BashExplainer_Gemma
Base model
google/codegemma-7b-it
from adapters import AutoAdapterModel model = AutoAdapterModel.from_pretrained("undefined") model.load_adapter("KakashiH/BashExplainer_Gemma", set_active=True)