Peacockery/omni-ctc-300m-v2-fleurs-fa-ir-thomcles-continue

Omnilingual ASR CTC 300M v2, FLEURS Persian + Thomcles Continuation

This repository contains the step-5000 checkpoint from continuing Peacockery/omni-ctc-300m-v2-fleurs-fa-ir on Thomcles/Persian-Farsi-Speech.

The checkpoint is a fairseq2 / Omnilingual ASR checkpoint. It is not packaged as a Transformers model.

Files

• checkpoint-step-5000.pt: final continued model checkpoint.
• fairseq2_card.yaml: local fairseq2 asset card for the checkpoint.
• training-config.yaml: continuation training configuration.
• benchmarks/fleurs-test-step5000-thomcles-summary.md: FLEURS fa_ir test benchmark after Thomcles continuation.
• benchmarks/fleurs-test-before-thomcles-summary.md: FLEURS fa_ir test benchmark before Thomcles continuation.
• dev-scores/: Thomcles dev WER scores saved during continuation training.
• data/thomcles-language_distribution_0.tsv: prepared Thomcles training-hour summary.

Results

FLEURS fa_ir test, 871 samples:

Checkpoint	WER	CER
FLEURS + Thomcles step 5000	18.02%	5.11%
FLEURS-only step 5000	18.55%	5.28%

Thomcles dev validation:

Step	WER
500	31.41%
1000	28.91%
1500	26.54%
2000	26.11%
2500	25.64%
3000	24.69%
3500	24.21%
4000	23.95%
4500	23.73%
5000	23.62%

Training Notes

• Starting checkpoint: Peacockery/omni-ctc-300m-v2-fleurs-fa-ir
• Continuation dataset: Thomcles/Persian-Farsi-Speech
• Prepared Thomcles data: 108,306 train rows, 1,095 dev rows, 417.46 total hours
• Tokenizer: omniASR_tokenizer_written_v2
• Continuation steps: 5000
• Optimizer learning rate: 1e-5
• Gradient accumulation: 8 batches
• Precision: bfloat16

See training-config.yaml for the exact trainer settings.