Datasets:

---

lhchau

/

teacher-openllama2-7b

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
alora_invocation_tokens: null
alpha_pattern: struct<>
arrow_config: null
auto_mapping: null
base_model_name_or_path: string
bias: string
corda_config: null
ensure_weight_tying: bool
eva_config: null
exclude_modules: null
fan_in_fan_out: bool
inference_mode: bool
init_lora_weights: bool
layer_replication: null
layers_pattern: null
layers_to_transform: null
loftq_config: struct<>
lora_alpha: int64
lora_bias: bool
lora_dropout: double
megatron_config: null
megatron_core: string
modules_to_save: null
peft_type: string
peft_version: string
qalora_group_size: int64
r: int64
rank_pattern: struct<>
revision: null
target_modules: list<item: string>
  child 0, item: string
target_parameters: null
task_type: string
trainable_token_indices: null
use_dora: bool
use_qalora: bool
use_rslora: bool
only_prompt: bool
max_length: int64
temperature: double
epochs: int64
no_value: bool
log_interval: int64
mid_log_num: int64
num_rollouts_per_device: null
dev_ratio: int64
save: string
peft_lora_dropout: double
eval_interval: int64
n_nodes: int64
model_parallel_size: null
local_rank: int64
loss_eps: double
clip_grad: double
repetition_penalty: null
eval_ppl: bool
deepscale: bool
json_data: bool
train_num: int64
peft_lora_r: int64
save_interval: int64
dev_num: int64
seed: int64
deepscale_config: null
do_sample: bool
teacher_model_path: null
replay_ratio: string
reward_scaling: null
num_beams: int64
loss_scale: int64
peft: string
dropout_path_rate: null
num_workers: int64
chunk_size: null
lm_data_dir:
...
ngth: int64
fp32: bool
force_process: bool
seed_lm: int64
eb_sample_times: int64
teacher_mixed_alpha: null
prompt_type: null
ppo_epochs: null
kd_ratio: null
max_prompt_length: int64
eval_gen: bool
teacher_model_type: null
top_k: int64
cliprange: double
teacher_ckpt_name: null
do_eval: bool
num_rollouts: int64
mixed_alpha: double
student_gen: bool
batch_size: int64
teacher_model_fp16: bool
length_norm: bool
lm_coef: int64
prompt_data_dir: null
save_additional_suffix: string
model_parallel: bool
train_iters_per_epoch: int64
data_names: null
data_dir: string
load: null
total_iters: null
scheduler_name: string
mkd_alpha: int64
base_path: string
model_type: string
eval_rw: bool
gen_top_p: double
init_threshold: double
deepspeed_config: string
gen_num: int64
eval_batch_size: int64
txt_data: bool
ckpt_name: string
data_process_workers: int64
lr: double
train_ratio: int64
attn_dtype: null
training_epochs: int64
cliprange_reward: int64
force_process_demo: bool
deepspeed: bool
teacher_peft_name: null
peft_name: null
seed_data: int64
world_size: int64
seed_ppo: int64
type: string
lr_decay_iters: null
n_gpu: int64
gen_num_beams: int64
peft_path: null
warmup_iters: int64
single_step_reg: bool
skew_alpha: double
rank: int64
gamma: double
top_p: double
lr_decay_style: string
lr_min: double
peft_lora_alpha: int64
model_path: string
do_train: bool
seed_order: int64
no_repeat_ngram_size: int64
bin_data: bool
do_valid: bool
save_rollout: bool
capacity: int64
mkd_beta: int64
weight_decay: double
to
{'model_path': Value('string'), 'ckpt_name': Value('string'), 'model_type': Value('string'), 'teacher_model_type': Value('null'), 'n_gpu': Value('int64'), 'n_nodes': Value('int64'), 'teacher_model_path': Value('null'), 'teacher_ckpt_name': Value('null'), 'teacher_model_fp16': Value('bool'), 'model_parallel': Value('bool'), 'model_parallel_size': Value('null'), 'no_value': Value('bool'), 'dropout_path_rate': Value('null'), 'fp32': Value('bool'), 'type': Value('string'), 'do_train': Value('bool'), 'do_valid': Value('bool'), 'do_eval': Value('bool'), 'base_path': Value('string'), 'load': Value('null'), 'save': Value('string'), 'log_interval': Value('int64'), 'mid_log_num': Value('int64'), 'save_interval': Value('int64'), 'eval_interval': Value('int64'), 'local_rank': Value('int64'), 'save_additional_suffix': Value('string'), 'save_rollout': Value('bool'), 'eb_sample_times': Value('int64'), 'data_dir': Value('string'), 'processed_data_dir': Value('null'), 'force_process': Value('bool'), 'force_process_demo': Value('bool'), 'data_process_workers': Value('int64'), 'train_num': Value('int64'), 'train_ratio': Value('int64'), 'dev_num': Value('int64'), 'dev_ratio': Value('int64'), 'gen_num': Value('int64'), 'data_names': Value('null'), 'prompt_type': Value('null'), 'num_workers': Value('int64'), 'max_prompt_length': Value('int64'), 'min_prompt_length': Value('int64'), 'json_data': Value('bool'), 'bin_data': Value('bool'), 'txt_data': Value('bool'), 'prompt_data_dir': Value('null'), 'l
...
nt64'), 'lr_decay_iters': Value('null'), 'lr_decay_style': Value('string'), 'scheduler_name': Value('string'), 'reward_scaling': Value('null'), 'cliprange_reward': Value('int64'), 'ppo_epochs': Value('null'), 'num_rollouts': Value('int64'), 'num_rollouts_per_device': Value('null'), 'cliprange': Value('float64'), 'chunk_size': Value('null'), 'gamma': Value('float64'), 'length_norm': Value('bool'), 'single_step_reg': Value('bool'), 'teacher_mixed_alpha': Value('null'), 'lm_coef': Value('int64'), 'skew_alpha': Value('float64'), 'student_gen': Value('bool'), 'gen_top_p': Value('float64'), 'gen_num_beams': Value('int64'), 'mixed_alpha': Value('float64'), 'loss_eps': Value('float64'), 'init_threshold': Value('float64'), 'capacity': Value('int64'), 'replay_ratio': Value('string'), 'top_k': Value('int64'), 'top_p': Value('float64'), 'do_sample': Value('bool'), 'no_repeat_ngram_size': Value('int64'), 'repetition_penalty': Value('null'), 'num_beams': Value('int64'), 'temperature': Value('float64'), 'peft': Value('string'), 'peft_lora_r': Value('int64'), 'peft_lora_alpha': Value('int64'), 'peft_lora_dropout': Value('float64'), 'peft_name': Value('null'), 'peft_path': Value('null'), 'teacher_peft_name': Value('null'), 'teacher_peft_path': Value('null'), 'mkd_alpha': Value('int64'), 'mkd_beta': Value('int64'), 'deepspeed': Value('bool'), 'deepspeed_config': Value('string'), 'deepscale': Value('bool'), 'deepscale_config': Value('null'), 'rank': Value('int64'), 'world_size': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                         ^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 299, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 128, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              alora_invocation_tokens: null
              alpha_pattern: struct<>
              arrow_config: null
              auto_mapping: null
              base_model_name_or_path: string
              bias: string
              corda_config: null
              ensure_weight_tying: bool
              eva_config: null
              exclude_modules: null
              fan_in_fan_out: bool
              inference_mode: bool
              init_lora_weights: bool
              layer_replication: null
              layers_pattern: null
              layers_to_transform: null
              loftq_config: struct<>
              lora_alpha: int64
              lora_bias: bool
              lora_dropout: double
              megatron_config: null
              megatron_core: string
              modules_to_save: null
              peft_type: string
              peft_version: string
              qalora_group_size: int64
              r: int64
              rank_pattern: struct<>
              revision: null
              target_modules: list<item: string>
                child 0, item: string
              target_parameters: null
              task_type: string
              trainable_token_indices: null
              use_dora: bool
              use_qalora: bool
              use_rslora: bool
              only_prompt: bool
              max_length: int64
              temperature: double
              epochs: int64
              no_value: bool
              log_interval: int64
              mid_log_num: int64
              num_rollouts_per_device: null
              dev_ratio: int64
              save: string
              peft_lora_dropout: double
              eval_interval: int64
              n_nodes: int64
              model_parallel_size: null
              local_rank: int64
              loss_eps: double
              clip_grad: double
              repetition_penalty: null
              eval_ppl: bool
              deepscale: bool
              json_data: bool
              train_num: int64
              peft_lora_r: int64
              save_interval: int64
              dev_num: int64
              seed: int64
              deepscale_config: null
              do_sample: bool
              teacher_model_path: null
              replay_ratio: string
              reward_scaling: null
              num_beams: int64
              loss_scale: int64
              peft: string
              dropout_path_rate: null
              num_workers: int64
              chunk_size: null
              lm_data_dir:
              ...
              ngth: int64
              fp32: bool
              force_process: bool
              seed_lm: int64
              eb_sample_times: int64
              teacher_mixed_alpha: null
              prompt_type: null
              ppo_epochs: null
              kd_ratio: null
              max_prompt_length: int64
              eval_gen: bool
              teacher_model_type: null
              top_k: int64
              cliprange: double
              teacher_ckpt_name: null
              do_eval: bool
              num_rollouts: int64
              mixed_alpha: double
              student_gen: bool
              batch_size: int64
              teacher_model_fp16: bool
              length_norm: bool
              lm_coef: int64
              prompt_data_dir: null
              save_additional_suffix: string
              model_parallel: bool
              train_iters_per_epoch: int64
              data_names: null
              data_dir: string
              load: null
              total_iters: null
              scheduler_name: string
              mkd_alpha: int64
              base_path: string
              model_type: string
              eval_rw: bool
              gen_top_p: double
              init_threshold: double
              deepspeed_config: string
              gen_num: int64
              eval_batch_size: int64
              txt_data: bool
              ckpt_name: string
              data_process_workers: int64
              lr: double
              train_ratio: int64
              attn_dtype: null
              training_epochs: int64
              cliprange_reward: int64
              force_process_demo: bool
              deepspeed: bool
              teacher_peft_name: null
              peft_name: null
              seed_data: int64
              world_size: int64
              seed_ppo: int64
              type: string
              lr_decay_iters: null
              n_gpu: int64
              gen_num_beams: int64
              peft_path: null
              warmup_iters: int64
              single_step_reg: bool
              skew_alpha: double
              rank: int64
              gamma: double
              top_p: double
              lr_decay_style: string
              lr_min: double
              peft_lora_alpha: int64
              model_path: string
              do_train: bool
              seed_order: int64
              no_repeat_ngram_size: int64
              bin_data: bool
              do_valid: bool
              save_rollout: bool
              capacity: int64
              mkd_beta: int64
              weight_decay: double
              to
              {'model_path': Value('string'), 'ckpt_name': Value('string'), 'model_type': Value('string'), 'teacher_model_type': Value('null'), 'n_gpu': Value('int64'), 'n_nodes': Value('int64'), 'teacher_model_path': Value('null'), 'teacher_ckpt_name': Value('null'), 'teacher_model_fp16': Value('bool'), 'model_parallel': Value('bool'), 'model_parallel_size': Value('null'), 'no_value': Value('bool'), 'dropout_path_rate': Value('null'), 'fp32': Value('bool'), 'type': Value('string'), 'do_train': Value('bool'), 'do_valid': Value('bool'), 'do_eval': Value('bool'), 'base_path': Value('string'), 'load': Value('null'), 'save': Value('string'), 'log_interval': Value('int64'), 'mid_log_num': Value('int64'), 'save_interval': Value('int64'), 'eval_interval': Value('int64'), 'local_rank': Value('int64'), 'save_additional_suffix': Value('string'), 'save_rollout': Value('bool'), 'eb_sample_times': Value('int64'), 'data_dir': Value('string'), 'processed_data_dir': Value('null'), 'force_process': Value('bool'), 'force_process_demo': Value('bool'), 'data_process_workers': Value('int64'), 'train_num': Value('int64'), 'train_ratio': Value('int64'), 'dev_num': Value('int64'), 'dev_ratio': Value('int64'), 'gen_num': Value('int64'), 'data_names': Value('null'), 'prompt_type': Value('null'), 'num_workers': Value('int64'), 'max_prompt_length': Value('int64'), 'min_prompt_length': Value('int64'), 'json_data': Value('bool'), 'bin_data': Value('bool'), 'txt_data': Value('bool'), 'prompt_data_dir': Value('null'), 'l
              ...
              nt64'), 'lr_decay_iters': Value('null'), 'lr_decay_style': Value('string'), 'scheduler_name': Value('string'), 'reward_scaling': Value('null'), 'cliprange_reward': Value('int64'), 'ppo_epochs': Value('null'), 'num_rollouts': Value('int64'), 'num_rollouts_per_device': Value('null'), 'cliprange': Value('float64'), 'chunk_size': Value('null'), 'gamma': Value('float64'), 'length_norm': Value('bool'), 'single_step_reg': Value('bool'), 'teacher_mixed_alpha': Value('null'), 'lm_coef': Value('int64'), 'skew_alpha': Value('float64'), 'student_gen': Value('bool'), 'gen_top_p': Value('float64'), 'gen_num_beams': Value('int64'), 'mixed_alpha': Value('float64'), 'loss_eps': Value('float64'), 'init_threshold': Value('float64'), 'capacity': Value('int64'), 'replay_ratio': Value('string'), 'top_k': Value('int64'), 'top_p': Value('float64'), 'do_sample': Value('bool'), 'no_repeat_ngram_size': Value('int64'), 'repetition_penalty': Value('null'), 'num_beams': Value('int64'), 'temperature': Value('float64'), 'peft': Value('string'), 'peft_lora_r': Value('int64'), 'peft_lora_alpha': Value('int64'), 'peft_lora_dropout': Value('float64'), 'peft_name': Value('null'), 'peft_path': Value('null'), 'teacher_peft_name': Value('null'), 'teacher_peft_path': Value('null'), 'mkd_alpha': Value('int64'), 'mkd_beta': Value('int64'), 'deepspeed': Value('bool'), 'deepspeed_config': Value('string'), 'deepscale': Value('bool'), 'deepscale_config': Value('null'), 'rank': Value('int64'), 'world_size': Value('int64')}
              because column names don't match