| import os |
| from pathlib import Path |
|
|
| REPO_DIR = Path(os.path.realpath(os.path.join(os.path.dirname(__file__), '..'))) |
|
|
| |
| url = 'VedCodes/Easy_Share' |
| extraction_path = REPO_DIR / "VedCodes/Easy_Share.jsonl" |
|
|
| |
| min_length = 100 |
|
|
| |
| hf_repo = "VedCodes/Easy_Share" |
|
|
| |
| context_length = 2048 |
| batch_size = 1000 |
| test_size = 0.1 |
| shuffle = True |
|
|
| |
| model_name = 'bigscience/bloom-3b' |
| lora_r = 16 |
| lora_alpha = 32 |
| lora_dropout = 0.05 |
| lora_bias = "none" |
| lora_task_type = "CAUSAL_LM" |
|
|
| |
| 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 |
|
|
| |
| mlm =False |
|
|
| |
| max_new_tokens = 50 |
| temperature = 0.5 |
| do_sample = False |
|
|
