Update README.md

README.md

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 ## Training Procedure
 
 - **Base model:** [`answerdotai/ModernBERT-large`](https://huggingface.co/answerdotai/ModernBERT-large).
-- **Dataset configuration:** training and validation splits pulled from `juanmcristobal/ner-ioc-dataset3` with column mapping `tokens` → tokens, `tags` → labels.
 - **Hardware:** single Nvidia L40S instance (8 vCPU / 62 GB RAM / 48 GB VRAM).
 - **Optimisation setup:** mixed precision `fp16`, optimiser `adamw_torch`, cosine learning-rate scheduler, gradient accumulation `1`.
 - **Key hyperparameters:** learning rate `5e-5`, batch size `128`, epochs `5`, maximum sequence length `128`.
-- **Checkpoint:** best-performing checkpoint automatically pushed to the Hub as `juanmcristobal/autotrain-sec4`.
 
 | Parameter | Value |
 |-----------|-------|