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divin1234
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euromoe-experiment-artifacts

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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
status: string
model_label: string
base_model_path: string
adapter_path: string
merged_model_path: string
lora_rank: int64
lora_alpha: int64
target_modules: int64
adapter_tensors: int64
adapter_completion_sha256: string
adapter_config_sha256: string
adapter_model_sha256: string
adapter_run_config_sha256: string
adapter_targets_sha256: string
base_config_sha256: string
base_index_sha256: string
config_sha256: string
index_sha256: string
weight_shards: list<item: struct<filename: string, size: int64, sha256: string>>
  child 0, item: struct<filename: string, size: int64, sha256: string>
      child 0, filename: string
      child 1, size: int64
      child 2, sha256: string
total_weight_bytes: int64
stage: string
attempt_id: string
created_at_utc: string
gpu_lock: string
model: struct<base_index: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool (... 212 chars omitted)
  child 0, base_index: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
      child 0, exists: bool
      child 1, path: string
      child 2, relative_path: string
      child 3, safe_regular_file: bool
      child 4, sha256: string
      child 5, size_bytes: int64
  child 1, base_path: string
  child 2, expected_base_index_sha256: string
  child 3, expected_base_shard_sha256: struct<model-00001-of-00002.safetensors: string, model-00002-of-00002.safetensors: string>
      child 0, mode
...
_regular_file: bool
      child 4, sha256: string
      child 5, size_bytes: int64
  child 7, validation_inner_manifest: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
      child 0, exists: bool
      child 1, path: string
      child 2, relative_path: string
      child 3, safe_regular_file: bool
      child 4, sha256: string
      child 5, size_bytes: int64
  child 8, validation_outer_manifest: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
      child 0, exists: bool
      child 1, path: string
      child 2, relative_path: string
      child 3, safe_regular_file: bool
      child 4, sha256: string
      child 5, size_bytes: int64
log: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
  child 0, exists: bool
  child 1, path: string
  child 2, relative_path: string
  child 3, safe_regular_file: bool
  child 4, sha256: string
  child 5, size_bytes: int64
exit_code: int64
reason: string
run_config: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
  child 0, exists: bool
  child 1, path: string
  child 2, relative_path: string
  child 3, safe_regular_file: bool
  child 4, sha256: string
  child 5, size_bytes: int64
shell_line: string
experiment_label: string
shell_source: string
to
{'attempt_id': Value('string'), 'created_at_utc': Value('string'), 'exit_code': Value('int64'), 'experiment_label': Value('string'), 'failed_command': Value('string'), 'gpu_lock': Value('string'), 'inputs': {'contamination_audit_accepted': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'data_inputs_accepted': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'data_preparation_complete': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'readonly_inputs_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'sampler_preview_complete': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'train_inner_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'train_outer_manifest': {'exists': Value('bool'), 'pa
...
e': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'validation_inner_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'validation_outer_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}}, 'log': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'model': {'base_index': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'base_path': Value('string'), 'expected_base_index_sha256': Value('string'), 'expected_base_shard_sha256': {'model-00001-of-00002.safetensors': Value('string'), 'model-00002-of-00002.safetensors': Value('string')}}, 'output_dir': Value('string'), 'reason': Value('string'), 'run_config': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'schema_version': Value('int64'), 'shell_line': Value('string'), 'shell_source': Value('string'), 'stage': Value('string'), 'status': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              schema_version: int64
              status: string
              model_label: string
              base_model_path: string
              adapter_path: string
              merged_model_path: string
              lora_rank: int64
              lora_alpha: int64
              target_modules: int64
              adapter_tensors: int64
              adapter_completion_sha256: string
              adapter_config_sha256: string
              adapter_model_sha256: string
              adapter_run_config_sha256: string
              adapter_targets_sha256: string
              base_config_sha256: string
              base_index_sha256: string
              config_sha256: string
              index_sha256: string
              weight_shards: list<item: struct<filename: string, size: int64, sha256: string>>
                child 0, item: struct<filename: string, size: int64, sha256: string>
                    child 0, filename: string
                    child 1, size: int64
                    child 2, sha256: string
              total_weight_bytes: int64
              stage: string
              attempt_id: string
              created_at_utc: string
              gpu_lock: string
              model: struct<base_index: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool (... 212 chars omitted)
                child 0, base_index: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
                    child 0, exists: bool
                    child 1, path: string
                    child 2, relative_path: string
                    child 3, safe_regular_file: bool
                    child 4, sha256: string
                    child 5, size_bytes: int64
                child 1, base_path: string
                child 2, expected_base_index_sha256: string
                child 3, expected_base_shard_sha256: struct<model-00001-of-00002.safetensors: string, model-00002-of-00002.safetensors: string>
                    child 0, mode
              ...
              _regular_file: bool
                    child 4, sha256: string
                    child 5, size_bytes: int64
                child 7, validation_inner_manifest: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
                    child 0, exists: bool
                    child 1, path: string
                    child 2, relative_path: string
                    child 3, safe_regular_file: bool
                    child 4, sha256: string
                    child 5, size_bytes: int64
                child 8, validation_outer_manifest: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
                    child 0, exists: bool
                    child 1, path: string
                    child 2, relative_path: string
                    child 3, safe_regular_file: bool
                    child 4, sha256: string
                    child 5, size_bytes: int64
              log: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
                child 0, exists: bool
                child 1, path: string
                child 2, relative_path: string
                child 3, safe_regular_file: bool
                child 4, sha256: string
                child 5, size_bytes: int64
              exit_code: int64
              reason: string
              run_config: struct<exists: bool, path: string, relative_path: string, safe_regular_file: bool, sha256: string, s (... 17 chars omitted)
                child 0, exists: bool
                child 1, path: string
                child 2, relative_path: string
                child 3, safe_regular_file: bool
                child 4, sha256: string
                child 5, size_bytes: int64
              shell_line: string
              experiment_label: string
              shell_source: string
              to
              {'attempt_id': Value('string'), 'created_at_utc': Value('string'), 'exit_code': Value('int64'), 'experiment_label': Value('string'), 'failed_command': Value('string'), 'gpu_lock': Value('string'), 'inputs': {'contamination_audit_accepted': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'data_inputs_accepted': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'data_preparation_complete': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'readonly_inputs_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'sampler_preview_complete': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'train_inner_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'train_outer_manifest': {'exists': Value('bool'), 'pa
              ...
              e': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'validation_inner_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'validation_outer_manifest': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}}, 'log': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'model': {'base_index': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'base_path': Value('string'), 'expected_base_index_sha256': Value('string'), 'expected_base_shard_sha256': {'model-00001-of-00002.safetensors': Value('string'), 'model-00002-of-00002.safetensors': Value('string')}}, 'output_dir': Value('string'), 'reason': Value('string'), 'run_config': {'exists': Value('bool'), 'path': Value('string'), 'relative_path': Value('string'), 'safe_regular_file': Value('bool'), 'sha256': Value('string'), 'size_bytes': Value('int64')}, 'schema_version': Value('int64'), 'shell_line': Value('string'), 'shell_source': Value('string'), 'stage': Value('string'), 'status': Value('string')}
              because column names don't match

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EuroMoE Experiment Archive

This private repository archives the EuroMoE adaptation experiments produced under /root/userdata/liangyan/routing_analysis on jz1 and jz2.

Scope

  • Complete checkpoint trees for EuroMoE Full-FT, activation-selected Top8-FT, and Top8-LoRA experiments, including periodic trainer checkpoints.
  • The latest recoverable payload for selected interrupted experiments.
  • EuroMoE-specific training code, launch scripts, routing plans, and validation metadata.
  • EuroMoE evaluation code and raw/summary results for BELEBELE, M-ARC-C, M-HellaSwag, and MMMLU.
  • The EuroLLM-eval source snapshot and its EuroMoE result tree.

Existing periodic checkpoint-* directories are retained, including optimizer, scheduler, scaler, RNG, and trainer state. Runtime compiler caches produced by Triton, TorchInductor, or vLLM are excluded because they are neither source code nor evaluation results and can be regenerated. For interrupted LoRA runs, the latest recoverable checkpoint is retained explicitly under models/partial/.

Completed checkpoints

Language Data Method Variant Steps Evaluated Repository path
Icelandic 100K Full-FT standard 1563 Yes models/completed/icelandic/100k/full_ft/
Icelandic 100K Top8-FT activation-selected 1563 Yes models/completed/icelandic/100k/top8_ft/
Icelandic 100K Top8-LoRA rank 16, legacy 1563 Yes models/completed/icelandic/100k/top8_lora_rank16_legacy/
Icelandic 100K Top8-LoRA rank 64, legacy 1563 Yes models/completed/icelandic/100k/top8_lora_rank64_legacy/
Icelandic 100K Top8-LoRA rank 16, retention-v2 1563 Yes models/completed/icelandic/100k/top8_lora_rank16_retention_v2/
Icelandic 100K Top8-LoRA rank 64, retention-v2 1563 Yes models/completed/icelandic/100k/top8_lora_rank64_retention_v2/
Icelandic 500K Full-FT standard 7813 Yes models/completed/icelandic/500k/full_ft/
Icelandic 500K Top8-FT activation-selected 7813 Yes models/completed/icelandic/500k/top8_ft/
Icelandic 500K Top8-LoRA rank 16, retention-v2 7813 Not yet models/completed/icelandic/500k/top8_lora_rank16_retention_v2/
Icelandic 500K Top8-LoRA rank 64, retention-v2 7813 Not yet models/completed/icelandic/500k/top8_lora_rank64_retention_v2/
Tamil 100K Full-FT standard 1563 Yes models/completed/tamil/100k/full_ft/
Tamil 500K Full-FT standard 7813 Yes models/completed/tamil/500k/full_ft/
Tamil 100K Top8-FT activation-selected 1563 Yes models/completed/tamil/100k/top8_ft/
Tamil 100K Full-FT IndicRAG packed 1000 Yes models/completed/tamil/100k/full_ft_indicrag_packed/

The original EuroMoE base model is not duplicated here. It is represented by its evaluation outputs and by the base-model path/hash metadata embedded in each run.

Partial experiments

Experiment Last retained state Reason
Icelandic 500K Top8-LoRA rank 16 legacy checkpoint 3000 Superseded by retention-v2
Icelandic 500K Top8-LoRA rank 64 legacy checkpoint 2500 Superseded by retention-v2
Base IndicRAG Full packed step 1000 payload No completion marker
Bosnian 100K Full-FT no checkpoint Empty placeholder only; listed in the manifest

Layout 

models/
  completed/
  partial/
training_code/
evaluation/
  reproduce/
  eurollm-eval/
manifests/

manifests/MODEL_INVENTORY.tsv is the machine-readable index. Evaluation summary files remain under each original reproduce/euromoe_* directory so published numbers can be traced back to raw outputs and validation markers.
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