Fix forced_bos_token_id not set in generation_config

[Addyk-24]

What does this PR do?

Fixes #41492

Fixes incorrect target language generation during evaluation/validation in run_translation.py for multilingual translation models (mBART , M2M100).

Problem

When fine-tuning multilingual models, forced_bos_token_id was only set in model.config but not in model.generation_config. During evaluation, model.generate() reads from generation_config, causing generation in wrong language and artificially low BLEU scores.Previously would be ~2-5 (wrong language)

Solution

Set forced_bos_token_id in both model.config and model.generation_config.

Results:

• ✅ this generated correct language token id with correct target language.
• ✅ This warning appears if you modify model.config directly for generation. Using model.generation_config removes this warning and ensures Transformers v5+ uses the setting correctly.
• ✅ All evaluations complete without errors
• ✅ Using decoder_start_token_id only/both causes empty outputs.
• ✅ With this fix, the target language ID is automatically handled during generation.

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• Did you write any new necessary tests?

Who can review?

@zach-huggingface @Cyrilvallez

[Bmingg]

What's worked for me is that I set model.generation_config.decoder_start_token_id to the target language ID of MBart. When I discovered this bug, I think I checked the forced_bos_token_id of the output of MBart, and it should still be the start token s>. In this case, I think what was missing was the target language ID after start token, if I remembered correctly.

[Addyk-24]

What's worked for me is that I set model.generation_config.decoder_start_token_id to the target language ID of MBart. When I discovered this bug, I think I checked the forced_bos_token_id of the output of MBart, and it should still be the start token s>. In this case, I think what was missing was the target language ID after start token, if I remembered correctly.

Thanks for sharing your experience! I ran custom comprehensive tests to verify the correct fix, and here's what I found:

Test Performed :

I tested 4 different approaches on facebook/mbart-large-50-one-to-many-mmt translating en_XX → de_DE:

1. Baseline (no fix): First 5 token IDs:

   • [2, 250002, 64681, 4, 1199] -> this generated wrong target language

2. Setting forced_bos_token_id in generation_config (my current fix):

   • First 5 token IDs: [2, 250003, 54029, 4, 1225] -> this generated correct language token id with correct target language.

3. Setting decoder_start_token_id only:

   • First 5 token IDs: [250003, 2] -> Generated: "" (empty/broken output)

4. Setting both:

   • First 5 token IDs: [250003, 250003, 2] -> Generated: "" (broken - duplicates language token)

Below is the fix that i have done :

Result :

• The forced_bos_token_id parameter controls what comes after the EOS token (which is the target language ID).
• While decoder_start_token_id seems to break the generation flow when set to the language ID.

Conclusion

• Based on tests, this PR ensures correct target language generation for mBART by applying generation_config.forced_bos_token_id.
• Using decoder_start_token_id instead causes invalid or empty outputs.
• With this fix, the target language ID is automatically handled during generation.

[Cyrilvallez]

@Addyk-24 do you mind reverting all unrelated changes please? 🤗 I.e. all style changes (newlines etc) so that we can see the clear diff

[Addyk-24]

@Addyk-24 do you mind reverting all unrelated changes please? 🤗 I.e. all style changes (newlines etc) so that we can see the clear diff

@Cyrilvallez Done! I've reverted all unrelated formatting changes. The PR now only includes the fix for setting forced_bos_token_id in generation_config, so the language ID is handled automatically instead of manually. I've also performed 4 custom tests to verify this behavior. Please let me know if any further adjustments are needed. Thanks 🤗