Added more training parameters; Removed chat emulation of text datasets; Fixes;

testProject/config.ini

@@ -9,10 +9,6 @@ purgeTargetDirectories=false
 train=true
 # save lora adapter to disk after training. Also required for validation and merging
 storeAdapter=true
-# convert text dataset to chat prompts
-trTextDsToChat=true
-# if plain texts have been converted to chat prompts, also keep plain texts in dataset (combined)
-trTextDsKeepPlainText=true
 # path to base model (hf safetensors repo)
 locBaseModel=../../lm/models/safetensors/Qwen2.5-1.5B-Instruct/
 # path to datasets
@@ -24,9 +20,14 @@ locAdapter=./testProject/adapter/
 # training epochs (how many times each dataset entry is trained)
 #   vInplace true: Validation will run after each batch of training epochs until vExpected has been reached, otherwise the next training batch starts
 #   vInplace false: Training is executed once for trEpochs epochs
+#   Optimizer schedule_free_*: Leave trEpochs blank
 trEpochs=10
 # optional int, maximum length of training sequence
 trMaxSeqLength=
+# optional scheduler type: linear, constant, cosine, polynomial, inverse_sqrt
+trSchedulerType=
+# optional optimizer; grokadamw, schedule_free_adamw, schedule_free_sgd
+trOptim=
 # optional int, training batch size (reduces memory consumption)
 trPerDeviceTrainBatchSize=
 # optional bool, determine training batch size (reduces memory consumption)