Multiple beams translate & evaluation with bleu #6
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Added translation for multiple beams
adding few shot gpt translation
dchaplinsky
reviewed
Feb 23, 2024
| with open('flores-eng-devtest.csv', 'w') as csvfile: | ||
| writer = csv.DictWriter(csvfile, fieldnames=["eng_Latn-ukr_Cyrl"]) | ||
| writer.writeheader() | ||
| for domain in list_of_emails: |
| eng = devtest["sentence_eng_Latn"] | ||
| def write_to_csv(list_of_emails): | ||
| with open('flores-eng-devtest.csv', 'w') as csvfile: | ||
| writer = csv.DictWriter(csvfile, fieldnames=["eng_Latn-ukr_Cyrl"]) |
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fieldnames looks wrong.
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| @app.command() | ||
| def eval_model_multpl_beams_ready_prep( | ||
| source_file_path: Annotated[str, typer.Option()], |
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Gosh, some docstrings are needed.
| ) | ||
| source_sentences = [] | ||
| with open(preprocessed_file_path) as f: | ||
| source_sentences = f.readlines() |
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In [1]: with open("/tmp/foo", "r") as fp_on:
...: lines = fp_on.readlines()
...:
In [2]: lines
Out[2]: ['1\n', '2\n', '3\n', '4\n']
you might want to strip newlines.
added mistral translate script
proger
reviewed
Feb 23, 2024
| all_prompts.append(translation_prompt) | ||
| print(f"Max tokens = {max(all_token_counts)}") | ||
| inputs = tokenizer(all_prompts, return_tensors="pt", padding=True) | ||
| model.to("cuda") |
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Loading the model to cuda later is slower than loading it directly to cuda. Check out this patch: 33b3774
added calc metrics script
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