You can deploy this model and start earning money today!

SRP-base-model-training/
eval

Views

No views yet

Bilingual Translation Evaluation Script (EN → KK)

This repository provides an evaluation pipeline for English-to-Kazakh/Russian-to-Kazakh (and vice versa) translation models based on the Gemma3ForCausalLM architecture from Hugging Face Transformers.

🚀 Overview

The script:

Loads a fine-tuned model and tokenizer
Performs inference on a FLORES-style test set (.jsonl)
Computes BLEU score using NLTK
Saves predictions and evaluation results into a JSON file

⚙️ Configuration

Modify these lines at the top of the script as needed:

python

SRC_LANG = "en"
TGT_LANG = "kk"
MODEL_PATH = "/path/to/your/model"
TEST_FILE = "/path/to/test_file.jsonl"
OUTPUT_JSON = "/path/to/output_file.jsonl"
MAX_NEW_TOKS = 64
DEVICE = "cuda"  # or "cpu"

To specify GPU devices:

export CUDA_VISIBLE_DEVICES=2,3,4,5

▶️ Run the Script

python eval_blue.py

SRP-base-model-training/eval

Bilingual Translation Evaluation Script (EN → KK)

🚀 Overview

⚙️ Configuration

▶️ Run the Script

SRP-base-model-training/
eval