Fix logic and update changelog

chimezie · Feb 22, 2025 · 25832a5 · 25832a5
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -11,9 +11,11 @@ Major synchronization to changes in MLX
 - Configuration for DoRA fine tuning 
 - Summary of how to perform mlx CLI fine tuning using generated parameters
 - Composable configurations  
+- axolotl-like configuration parameters for automatically determining values for the mlx_lm fine-tuning parameters
 
 ### Removed
 - Schedule configiration (use MLXes)
 - Colorize option
+- 
 
 
diff --git a/src/mlx_tuning_fork/training.py b/src/mlx_tuning_fork/training.py
@@ -116,7 +116,7 @@ def composably_train(args, config, config_file, model, summary, tokenizer, train
         scaled_steps_per_eval = int(num_iterations * args.validation_interval_proportion)
         scaled_val_batches = int(args.validations_per_train_item * args.validation_interval_proportion * num_iterations)
     scaled_val_batches = max(1, scaled_val_batches)
-    scaled_steps_per_report = int(args.reporting_interval_proportion * num_iterations)
+    scaled_steps_per_report = max(1, int(args.reporting_interval_proportion * num_iterations))
     if args.saves_per_epoch:
         scaled_save_every = int(epoch_num_steps / args.saves_per_epoch)
     else: