Detail	Value
Base Model	facebook/nllb-200-distilled-600M
Task	Machine Translation (English <-> Khasi)
Stage	Stage B - Full Silver Training
Checkpoint	checkpoint-12000 (Epoch 2.77/3.0)
Training Data	138k parallel pairs
GPUs	2x NVIDIA A100-SXM4-40GB

Metrics (at checkpoint-12000)

Metric	Score
BLEU	53.75
chrF	67.30
Eval Loss	0.6585

Usage

python

from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model = AutoModelForSeq2SeqLM.from_pretrained("techno-tuners/khasi-nllb-stage-b-checkpoint-12000")
tokenizer = AutoTokenizer.from_pretrained("techno-tuners/khasi-nllb-stage-b-checkpoint-12000")
tokenizer.src_lang = "eng_Latn"

inputs = tokenizer("Hello, how are you?", return_tensors="pt")
outputs = model.generate(**inputs, forced_bos_token_id=tokenizer.convert_tokens_to_ids("kha_Latn"), max_new_tokens=256)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))

Note: This is a training checkpoint, not the final production model.