Evals are done

Finally, after two days of tweaking values and rewriting evaluation prompts, the eval is all done. As per the original paper I employed a GPT-Eval adjacent score (albeit with Ministral-14B) as the LLM judge) and an Elo system (with GPT 5.6 Luna as the judge). The results did significantly corroborate with each other, which validates our conclusion that TTS-1M did as well or exceeded (slightly) as TS-1M whilst TTS-33M was poorer in performance compared to TS-33M though still competitive. Both the 33M models significantly outcompeted the 1M models, as expected and serves as an auxiliary validation.