I've provided a train_data.txt file in your current folder. Please re-run your ternary training solution using THIS file as the training data instead of whatever data source you originally used.

To use it: read train_data.txt, tokenize it with the same tokenizer your model already uses, and train on those tokens. Keep all other architectural choices (STE implementation, group size, optimizer, learning rate, etc.) the same — only change the training data source.

After training, report:
1. Final training loss
2. Validation perplexity
3. Ternary verification result (are all weights in {-1, 0, +1}?)
4. 3-5 text generation samples from different prompts
5. Anything interesting you learned from this run compared to your previous one