bleu output looks similar to hf

myerrors_1401.out

@@ -1,9 +0,0 @@
-
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 23, in <module>
-    tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, return_tensors="pt")
-                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 750, in from_pretrained
-    raise ValueError(
-ValueError: This tokenizer cannot be instantiated. Please make sure you have `sentencepiece` installed in order to use this tokenizer.

myerrors_1402.out

@@ -1,23 +0,0 @@
-
-
-
-/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/models/marian/tokenization_marian.py:194: UserWarning: Recommended: pip install sacremoses.
-  warnings.warn("Recommended: pip install sacremoses.")
-
-
-
-
-
-
-
-
-
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 80, in <module>
-    args = Seq2SeqTrainingArguments(
-           ^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "<string>", line 119, in __init__
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/training_args.py", line 1405, in __post_init__
-    raise ValueError(
-ValueError: FP16 Mixed precision training with AMP or APEX (`--fp16`) and FP16 half precision evaluation (`--fp16_full_eval`) can only be used on CUDA or NPU devices.

myerrors_1403.out

@@ -1,50 +0,0 @@
-/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/models/marian/tokenization_marian.py:194: UserWarning: Recommended: pip install sacremoses.
-  warnings.warn("Recommended: pip install sacremoses.")
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2546, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 303, in hf_raise_for_status
-huggingface_hub.utils._errors.HfHubHTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create (Request ID: Root=1-64ff2c24-39c3ba28543474ce41675b61;d911d129-0bdc-4dff-ab4c-ab71caf82db5)
-
-You don't have the rights to create a model under this namespace
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 96, in <module>
-    trainer = Seq2SeqTrainer(
-              ^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer_seq2seq.py", line 56, in __init__
-    super().__init__(
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 557, in __init__
-    self.init_hf_repo()
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 3435, in init_hf_repo
-    repo_url = create_repo(repo_name, token=self.args.hub_token, private=self.args.hub_private_repo, exist_ok=True)
-               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2554, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1888, in repo_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1698, in model_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 293, in hf_raise_for_status
-huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-64ff2c24-2234753e238f18a24080db45;16a693ed-0e76-46c1-9afd-f3e7506d8136)
-
-Repository Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr.
-Please make sure you specified the correct `repo_id` and `repo_type`.
-If you are trying to access a private or gated repo, make sure you are authenticated.

myerrors_1404.out

@@ -1,48 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2546, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 303, in hf_raise_for_status
-huggingface_hub.utils._errors.HfHubHTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create (Request ID: Root=1-64ff2e0f-04aee0206267018a53220759;64c24d18-ee3c-4ee3-93c4-3479148cf4f8)
-
-You don't have the rights to create a model under this namespace
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 96, in <module>
-    trainer = Seq2SeqTrainer(
-              ^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer_seq2seq.py", line 56, in __init__
-    super().__init__(
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 557, in __init__
-    self.init_hf_repo()
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 3435, in init_hf_repo
-    repo_url = create_repo(repo_name, token=self.args.hub_token, private=self.args.hub_private_repo, exist_ok=True)
-               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2554, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1888, in repo_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1698, in model_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 293, in hf_raise_for_status
-huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-64ff2e0f-5c9b7bd73ed6a48c1605e2bb;fb404a8a-9d6e-4223-9cfe-5563a5ec4412)
-
-Repository Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr.
-Please make sure you specified the correct `repo_id` and `repo_type`.
-If you are trying to access a private or gated repo, make sure you are authenticated.

myerrors_1405.out

@@ -1,48 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2546, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 303, in hf_raise_for_status
-huggingface_hub.utils._errors.HfHubHTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create (Request ID: Root=1-64ff2e8d-26b7f26a7185798f2c251d93;ad63d89f-32e8-4dab-8762-8cb2d39a990b)
-
-You don't have the rights to create a model under this namespace
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 96, in <module>
-    trainer = Seq2SeqTrainer(
-              ^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer_seq2seq.py", line 56, in __init__
-    super().__init__(
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 557, in __init__
-    self.init_hf_repo()
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 3435, in init_hf_repo
-    repo_url = create_repo(repo_name, token=self.args.hub_token, private=self.args.hub_private_repo, exist_ok=True)
-               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2554, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1888, in repo_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1698, in model_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 293, in hf_raise_for_status
-huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-64ff2e8d-637e402722d31e0862ea8bb3;66a399d9-07ed-45f5-9f41-dac69b046bb0)
-
-Repository Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr.
-Please make sure you specified the correct `repo_id` and `repo_type`.
-If you are trying to access a private or gated repo, make sure you are authenticated.

myerrors_1406.out

@@ -1,48 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2546, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 303, in hf_raise_for_status
-huggingface_hub.utils._errors.HfHubHTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/api/repos/create (Request ID: Root=1-64ff2fbf-6de6dc267c9487e65e7934bf;287145ff-2ef0-4dd5-bc86-210a69e00ec6)
-
-You don't have the rights to create a model under this namespace
-
-During handling of the above exception, another exception occurred:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 261, in hf_raise_for_status
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/requests/models.py", line 1021, in raise_for_status
-    raise HTTPError(http_error_msg, response=self)
-requests.exceptions.HTTPError: 404 Client Error: Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr
-
-The above exception was the direct cause of the following exception:
-
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 96, in <module>
-    trainer = Seq2SeqTrainer(
-              ^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer_seq2seq.py", line 56, in __init__
-    super().__init__(
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 557, in __init__
-    self.init_hf_repo()
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/transformers/trainer.py", line 3435, in init_hf_repo
-    repo_url = create_repo(repo_name, token=self.args.hub_token, private=self.args.hub_private_repo, exist_ok=True)
-               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 2554, in create_repo
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1888, in repo_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_validators.py", line 118, in _inner_fn
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/hf_api.py", line 1698, in model_info
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/.conda/lib/python3.11/site-packages/huggingface_hub-0.17.0rc0-py3.8.egg/huggingface_hub/utils/_errors.py", line 293, in hf_raise_for_status
-huggingface_hub.utils._errors.RepositoryNotFoundError: 404 Client Error. (Request ID: Root=1-64ff2fbf-48e1a74b35b255065e7d42ca;838814e3-07df-4c36-a063-14996ea52175)
-
-Repository Not Found for url: https://huggingface.co/api/models/marian-finetuned-kde4-en-to-fr.
-Please make sure you specified the correct `repo_id` and `repo_type`.
-If you are trying to access a private or gated repo, make sure you are authenticated.

myerrors_1407.out

@@ -1 +0,0 @@
-
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myerrors_1412.out

@@ -1,4 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 7, in <module>
-    import evaluate
-ModuleNotFoundError: No module named 'evaluate'

myerrors_1413.out

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myerrors_1419.out

@@ -1,4 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 7, in <module>
-    import evaluate
-ModuleNotFoundError: No module named 'evaluate'

myerrors_1420.out

@@ -1,4 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 14, in <module>
-    from accelerate import Accelerator
-ModuleNotFoundError: No module named 'accelerate'

myerrors_1421.out

@@ -1,7 +0,0 @@
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 23, in <module>
-    tokenizer = AutoTokenizer.from_pretrained(model_checkpoint, return_tensors="pt")
-                ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/transformers/models/auto/tokenization_auto.py", line 750, in from_pretrained
-    raise ValueError(
-ValueError: This tokenizer cannot be instantiated. Please make sure you have `sentencepiece` installed in order to use this tokenizer.

myerrors_1422.out

@@ -1,25 +0,0 @@
-/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/transformers/models/marian/tokenization_marian.py:194: UserWarning: Recommended: pip install sacremoses.
-  warnings.warn("Recommended: pip install sacremoses.")
-Using the latest cached version of the module from /home/aatherton/.cache/huggingface/modules/evaluate_modules/metrics/evaluate-metric--sacrebleu/28676bf65b4f88b276df566e48e603732d0b4afd237603ebdf92acaacf5be99b (last modified on Mon Sep 11 11:01:03 2023) since it couldn't be found locally at evaluate-metric--sacrebleu, or remotely on the Hugging Face Hub.
-Traceback (most recent call last):
-  File "/mnt/storage/aatherton/hf_eng_fra_reproduction/translation.py", line 54, in <module>
-    metric = evaluate.load("sacrebleu")
-             ^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/evaluate/loading.py", line 734, in load
-    evaluation_cls = import_main_class(evaluation_module.module_path)
-                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/site-packages/evaluate/loading.py", line 77, in import_main_class
-    module = importlib.import_module(module_path)
-             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "/mnt/storage/aatherton/anaconda3/envs/nmt/lib/python3.11/importlib/__init__.py", line 126, in import_module
-    return _bootstrap._gcd_import(name[level:], package, level)
-           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
-  File "<frozen importlib._bootstrap>", line 1204, in _gcd_import
-  File "<frozen importlib._bootstrap>", line 1176, in _find_and_load
-  File "<frozen importlib._bootstrap>", line 1147, in _find_and_load_unlocked
-  File "<frozen importlib._bootstrap>", line 690, in _load_unlocked
-  File "<frozen importlib._bootstrap_external>", line 940, in exec_module
-  File "<frozen importlib._bootstrap>", line 241, in _call_with_frames_removed
-  File "/home/aatherton/.cache/huggingface/modules/evaluate_modules/metrics/evaluate-metric--sacrebleu/28676bf65b4f88b276df566e48e603732d0b4afd237603ebdf92acaacf5be99b/sacrebleu.py", line 17, in <module>
-    import sacrebleu as scb
-ModuleNotFoundError: No module named 'sacrebleu'

myerrors_1442.out

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myerrors_1443.out

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  1%|▏         | 248/17736 [00:29<32:16,  9.03it/s]slurmstepd-dl: error: *** JOB 1443 ON dl CANCELLED AT 2023-09-12T19:18:43 ***

myerrors_1447.out

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myoutput_1408.out

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myoutput_1413.out

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myoutput_1414.out

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-evaluate 2
-aatherton2024/hf_eng_fra_reproduction

myoutput_1441.out

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-evaluate 2
-aatherton2024/hf_eng_fra_reproduction

myoutput_1442.out

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myoutput_1443.out

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-{'loss': 0.8125, 'learning_rate': 2.6612539467749214e-07, 'epoch': 2.96}
-{'train_runtime': 2061.6066, 'train_samples_per_second': 275.254, 'train_steps_per_second': 8.603, 'train_loss': 0.936724068723824, 'epoch': 3.0}
-evaluate 2

myoutput_1445.out

@@ -1,39 +0,0 @@
-evaluate1
-trainer train 1
-{'loss': 1.4145, 'learning_rate': 1.9436175011276502e-05, 'epoch': 0.08}
-{'loss': 1.2213, 'learning_rate': 1.8872350022553e-05, 'epoch': 0.17}
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-{'loss': 1.028, 'learning_rate': 1.5489400090212e-05, 'epoch': 0.68}
-{'loss': 1.0225, 'learning_rate': 1.49255751014885e-05, 'epoch': 0.76}
-{'loss': 1.0257, 'learning_rate': 1.4361750112764998e-05, 'epoch': 0.85}
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-{'loss': 0.8762, 'learning_rate': 8.159675236806496e-06, 'epoch': 1.78}
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-{'train_runtime': 2060.1811, 'train_samples_per_second': 275.444, 'train_steps_per_second': 8.609, 'train_loss': 0.936724068723824, 'epoch': 3.0}
-evaluate 2

myoutput_1446.out

@@ -1,39 +0,0 @@
-evaluate1
-trainer train 1
-{'loss': 1.4145, 'learning_rate': 1.9436175011276502e-05, 'epoch': 0.08}
-{'loss': 1.2213, 'learning_rate': 1.8872350022553e-05, 'epoch': 0.17}
-{'loss': 1.1692, 'learning_rate': 1.83085250338295e-05, 'epoch': 0.25}
-{'loss': 1.1296, 'learning_rate': 1.7744700045106002e-05, 'epoch': 0.34}
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-{'loss': 1.0225, 'learning_rate': 1.49255751014885e-05, 'epoch': 0.76}
-{'loss': 1.0257, 'learning_rate': 1.4361750112764998e-05, 'epoch': 0.85}
-{'loss': 0.9992, 'learning_rate': 1.3797925124041498e-05, 'epoch': 0.93}
-{'loss': 0.981, 'learning_rate': 1.3234100135317998e-05, 'epoch': 1.01}
-{'loss': 0.9172, 'learning_rate': 1.2670275146594498e-05, 'epoch': 1.1}
-{'loss': 0.9095, 'learning_rate': 1.2106450157870997e-05, 'epoch': 1.18}
-{'loss': 0.8946, 'learning_rate': 1.1542625169147496e-05, 'epoch': 1.27}
-{'loss': 0.9117, 'learning_rate': 1.0978800180423997e-05, 'epoch': 1.35}
-{'loss': 0.8855, 'learning_rate': 1.0414975191700496e-05, 'epoch': 1.44}
-{'loss': 0.8833, 'learning_rate': 9.851150202976997e-06, 'epoch': 1.52}
-{'loss': 0.8926, 'learning_rate': 9.287325214253496e-06, 'epoch': 1.61}
-{'loss': 0.8732, 'learning_rate': 8.723500225529997e-06, 'epoch': 1.69}
-{'loss': 0.8762, 'learning_rate': 8.159675236806496e-06, 'epoch': 1.78}
-{'loss': 0.8721, 'learning_rate': 7.595850248082995e-06, 'epoch': 1.86}
-{'loss': 0.8729, 'learning_rate': 7.032025259359495e-06, 'epoch': 1.95}
-{'loss': 0.8534, 'learning_rate': 6.468200270635994e-06, 'epoch': 2.03}
-{'loss': 0.809, 'learning_rate': 5.904375281912494e-06, 'epoch': 2.11}
-{'loss': 0.8138, 'learning_rate': 5.340550293188994e-06, 'epoch': 2.2}
-{'loss': 0.8232, 'learning_rate': 4.776725304465494e-06, 'epoch': 2.28}
-{'loss': 0.8283, 'learning_rate': 4.2129003157419936e-06, 'epoch': 2.37}
-{'loss': 0.8175, 'learning_rate': 3.6490753270184936e-06, 'epoch': 2.45}
-{'loss': 0.8165, 'learning_rate': 3.085250338294993e-06, 'epoch': 2.54}
-{'loss': 0.8036, 'learning_rate': 2.521425349571493e-06, 'epoch': 2.62}
-{'loss': 0.8204, 'learning_rate': 1.9576003608479928e-06, 'epoch': 2.71}
-{'loss': 0.808, 'learning_rate': 1.3937753721244926e-06, 'epoch': 2.79}
-{'loss': 0.806, 'learning_rate': 8.299503834009924e-07, 'epoch': 2.88}
-{'loss': 0.8125, 'learning_rate': 2.6612539467749214e-07, 'epoch': 2.96}
-{'train_runtime': 2059.1685, 'train_samples_per_second': 275.58, 'train_steps_per_second': 8.613, 'train_loss': 0.936724068723824, 'epoch': 3.0}
-evaluate 2

myoutput_1447.out

@@ -45,3 +45,4 @@ Trained
 epoch 1, BLEU score: 53.16
 training
 Trained
+epoch 2, BLEU score: 53.85

translation.py

@@ -103,13 +103,12 @@ trainer = Seq2SeqTrainer(
     compute_metrics=compute_metrics,
 )
 
-#see baseline scores, fine tune, then check out scores again
 print("evaluate1")
-#trainer.evaluate(max_length=max_length)
+trainer.evaluate(max_length=max_length)
 print("trainer train 1")
 trainer.train()
 print("evaluate 2")
-#trainer.evaluate(max_length=max_length)
+trainer.evaluate(max_length=max_length)
 trainer.push_to_hub(tags="translation", commit_message="Training complete")