fromdatasetsimportDatasetimportos# Assume 'raw_datasets' is your original dataset# Directory to save the tokenized dataset in chunksoutput_dir="tokenized_dataset"# Create directory if it doesn't existifnotos.path.exists(output_dir):os.makedirs(output_dir)deftokenize_function(examples):returntokenize...
@SaulLu when I use the wikitext-103 dataset the tokenizer hangs with Running tokenizer on dataset and shows no progress. This was not always an issue but as of today has become one. It will either hang at the end of tokenizing or at the very beginning. Any idea why this would be han...
org.apache.spark.ml.{Pipeline, PipelineModel} import org.apache.spark.ml.classification.LogisticRegression import org.apache.spark.ml.feature.{HashingTF, Tokenizer} import org.apache.spark.ml.linalg.Vector import org.apache.spark.sql.Row import ml.dmlc.xgboost4j.scala.spark.{XGBoostEstimator, ...
So in this case, we can use Spark Pipeline to train the model: 复制 // construct the pipeline val pipeline = new Pipeline().setStages(Array(new XGBoostEstimator(Map[String, Any]("num_rounds" -> 100))) // use the transformed dataframe as training dataset val xgboostModelPipeLine = pipe...
--data-path ${DATASET} \ --tokenizer-type $TOKENIZER_TYPE \ --tokenizer-model $TOKENIZER_PATH \ --data-impl mmap \ --split 100,0,0 \ " OUTPUT_ARGS=" --log-interval $LOG_INTERVAL \ --save-interval $SAVE_INTERVAL \ --eval-interval $EVAL_INTERVAL \ ...
It seems like either the tokenizer outputs or the embedding models are not being properly moved to the GPU. Could you try printing the device of the token embedder (with something like print(next(self.token_embedding.parameters()).device)) and the device of the input_ids (print(input_ids....
from transformers import AutoTokenizer tokenizer = AutoTokenizer.from_pretrained("distilbert-base-uncased") # Create new index train_idx = [i for i in range(len(train.index))] test_idx = [i for i in range(len(test.index))] val_idx = [i for i in range(len(val.index))] # Convert...
prepare tokenizers update token length:225Using DreamBooth method. Traceback (most recentcalllast): File"/home/antrobot/sd-scripts/./sdxl_train_network.py", line 184, in<module>trainer.train(args) File"/home/antrobot/sd-scripts/train_network.py", line 193, in train train_dataset_group =...
llama_model_loader: - kv 31: tokenizer.ggml.padding_token_id u32 = 32000 llama_model_loader: - kv 32: tokenizer.ggml.add_bos_token bool = false llama_model_loader: - kv 33: tokenizer.ggml.add_eos_token bool = false llama_model_loader: - kv 34: tokenizer.chat_template str = {...
Does anyone run accelerate launch --config_file "accelerate_config.yaml" train_flux_lora_deepspeed.py --config "train_configs/test_lora.yaml" successfully? My 80G VRAM encounted a CUDA out of memory when I trained 1024pxl-image dataset. ...