dusersad12 / StableT5-TestRepo

huggingface.co
Total runs: 9
24-hour runs: -13
7-day runs: -12
30-day runs: 3
Model's Last Updated: August 18 2026

Introduction of StableT5-TestRepo

Model Details of StableT5-TestRepo

StableT5

StableT5

1. Introduction

StableT5 is a sequence-to-sequence model trained with a focus on training stability across random seeds. We evaluated multiple hyperparameter configurations and selected the run that achieves both high performance and low variance across seeds. The resulting model demonstrates that careful hyperparameter search can yield checkpoints that generalize reliably without seed-dependent flukes.

2. Evaluation Results

The champion run was selected from a pool of 6 experiments. Only runs whose per-seed relative standard deviation falls below 5% on all metrics were considered stable.

Benchmark T5-Small T5-Base mT5-Small StableT5
ROUGE-L 0.435 0.488 0.472 0.589
BLEU 0.410 0.465 0.449 0.563
BERTScore F1 0.862 0.895 0.884 0.934
sacreBLEU 0.416 0.471 0.455 0.570
METEOR 0.465 0.520 0.503 0.625
3. Stability Analysis

All metrics for the champion run were verified across three random seeds (42, 123, 999). The maximum relative standard deviation observed was well below the 5% threshold, confirming that the model's performance is not an artifact of a favorable seed.

4. Usage
from transformers import AutoModelForSeq2SeqLM, AutoTokenizer

model = AutoModelForSeq2SeqLM.from_pretrained("your-username/StableT5-TestRepo")
tokenizer = AutoTokenizer.from_pretrained("your-username/StableT5-TestRepo")

input_text = "translate English to French: The weather is nice today."
inputs = tokenizer(input_text, return_tensors="pt")
outputs = model.generate(**inputs, max_length=128)
print(tokenizer.decode(outputs[0], skip_special_tokens=True))
5. License

This model is released under the Apache 2.0 License .

6. Contact

For questions or issues, please open an issue on the associated repository.

Runs of dusersad12 StableT5-TestRepo on huggingface.co

9
Total runs
-13
24-hour runs
-13
3-day runs
-12
7-day runs
3
30-day runs

More Information About StableT5-TestRepo huggingface.co Model

More StableT5-TestRepo license Visit here:

https://choosealicense.com/licenses/apache-2.0

StableT5-TestRepo huggingface.co

StableT5-TestRepo huggingface.co is an AI model on huggingface.co that provides StableT5-TestRepo's model effect (), which can be used instantly with this dusersad12 StableT5-TestRepo model. huggingface.co supports a free trial of the StableT5-TestRepo model, and also provides paid use of the StableT5-TestRepo. Support call StableT5-TestRepo model through api, including Node.js, Python, http.

StableT5-TestRepo huggingface.co Url

https://huggingface.co/dusersad12/StableT5-TestRepo

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dusersad12 StableT5-TestRepo online free url in huggingface.co:

https://huggingface.co/dusersad12/StableT5-TestRepo

StableT5-TestRepo install

StableT5-TestRepo is an open source model from GitHub that offers a free installation service, and any user can find StableT5-TestRepo on GitHub to install. At the same time, huggingface.co provides the effect of StableT5-TestRepo install, users can directly use StableT5-TestRepo installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

StableT5-TestRepo install url in huggingface.co:

https://huggingface.co/dusersad12/StableT5-TestRepo

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