Upload config

config

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+import os
+from pathlib import Path
+
+REPO_DIR = Path(os.path.realpath(os.path.join(os.path.dirname(__file__), '..')))
+
+# Text extraction
+url = 'VedCodes/Easy_Share'
+extraction_path = REPO_DIR / "VedCodes/Easy_Share.jsonl"
+
+# Text processing
+min_length = 100
+
+# HF repo
+hf_repo = "VedCodes/Easy_Share"
+
+# Dataset
+context_length = 2048
+batch_size = 1000
+test_size = 0.1
+shuffle = True
+
+# Training
+model_name = 'bigscience/bloom-3b'
+lora_r = 16 # attention heads
+lora_alpha = 32 # alpha scaling
+lora_dropout = 0.05
+lora_bias = "none"
+lora_task_type = "CAUSAL_LM" # set this for CLM or Seq2Seq
+
+## Trainer config
+per_device_train_batch_size = 1 
+gradient_accumulation_steps = 1
+warmup_steps = 100 
+num_train_epochs=3
+weight_decay=0.1
+learning_rate = 2e-4 
+fp16 = True
+logging_steps = 1
+overwrite_output_dir = True
+evaluation_strategy = "no"
+save_strategy = "no"
+push_to_hub = False
+
+## Data collator
+mlm =False
+
+## Generate
+max_new_tokens = 50
+temperature = 0.5
+do_sample = False