初始化项目，由ModelHub XC社区提供模型

Model: iamshnoo/combined_only_url_with_metadata_1b
Source: Original Platform

README.md

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+---
+pipeline_tag: text-generation
+library_name: transformers
+tags:
+- text-generation
+- metadata-localization
+- metadata-ablation
+- 1b
+- with-metadata
+- pretraining
+---
+
+# combined_only_url_with_metadata_1b
+
+## Summary
+
+This repo contains the url 1b model at the final 10k-step checkpoint for the metadata localization project. It was trained from scratch on the project corpus, using the Llama 3.2 tokenizer and vocabulary.
+
+## Variant Metadata
+
+- Stage: `pretrain`
+- Family: `metadata_ablation`
+- Size: `1b`
+- Metadata condition: `with_metadata`
+- Base model lineage: `Trained from scratch; tokenizer/vocabulary from meta-llama/Llama-3.2-1B`
+
+## Weights & Biases Provenance
+
+- Run name: `24/12/2025_22:00:55_combined_only_url_with_metadata_1b`
+- Internal run URL: `https://wandb.ai/iamshnoo/nanotron/runs/mgsf3ei7`
+- Note: the Weights & Biases workspace is private; public readers should use the summarized metrics and configuration below.
+- State: `finished`
+- Runtime: `114h 11m 7s`
+
+## Run Summary
+
+- `KPI/train_lm_loss`: `2.0952`
+- `KPI/train_perplexity`: `8.1273`
+- `KPI/val_loss`: `2.088`
+- `KPI/val_perplexity`: `8.0687`
+- `KPI/consumed_tokens/train`: `41,943,040,000`
+- `_step`: `10,000`
+
+## Training Configuration
+
+- `train_steps`: `10,000`
+- `sequence_length`: `2,048`
+- `micro_batch_size`: `8`
+- `batch_accumulation_per_replica`: `64`
+- `learning_rate`: `0.003`
+- `min_decay_lr`: `0.0003`
+- `checkpoint_interval`: `1,000`
+
+## Training Curves
+
+Static plots below were exported from the private Weights & Biases run and embedded here for public access.
+
+### Train Loss
+
+![Train Loss](assets/train_loss.png)
+
+### Validation Perplexity
+
+![Validation Perplexity](assets/val_perplexity.png)
+
+### Throughput
+
+![Throughput](assets/tokens_per_sec.png)
+
+## Project Context
+
+This model is part of the metadata localization release. Related checkpoints and variants are grouped in the public Hugging Face collection [Metadata Conditioned LLMs](https://huggingface.co/collections/iamshnoo/metadata-conditioned-llms).
+- Training data source: [News on the Web (NOW) Corpus](https://www.english-corpora.org/now/)
+- Project repository: [https://github.com/iamshnoo/metadata_localization](https://github.com/iamshnoo/metadata_localization)
+- Paper: [https://arxiv.org/abs/2601.15236](https://arxiv.org/abs/2601.15236)
+
+Last synced: `2026-04-02 14:43:35 UTC`