update model card

README.md

@@ -6,16 +6,16 @@ tags:
 - token classification
 license: agpl-3.0
 datasets:
-- EMBO/sd-nlp
+- EMBO/sd-panels
 metrics:
 -
 ---
 
-# sd-roles
+# sd-geneprod-roles
 
 ## Model description
 
-This model is a [RoBERTa base model](https://huggingface.co/roberta-base) that was further trained using a masked language modeling task on a compendium of english scientific textual examples from the life sciences using the [BioLang dataset](https://huggingface.co/datasets/EMBO/biolang). It as then fine-tuned for token classification on the SourceData [sd-nlp](https://huggingface.co/datasets/EMBO/sd-nlp) dataset with the `GENEPROD_ROLS` configuration to perform pure context-dependent semantic role classification of bioentities.
+This model is a [RoBERTa base model](https://huggingface.co/roberta-base) that was further trained using a masked language modeling task on a compendium of English scientific textual examples from the life sciences using the [BioLang dataset](https://huggingface.co/datasets/EMBO/biolang). It was then fine-tuned for token classification on the SourceData [sd-panels](https://huggingface.co/datasets/EMBO/sd-panels) dataset with the `GENEPROD_ROLES` configuration to perform pure context-dependent semantic role classification of bioentities.
 
 
 ## Intended uses & limitations
@@ -47,13 +47,13 @@ The model was trained for token classification using the [EMBO/sd-panels dataset
 
 ## Training procedure
 
-The training was run on a NVIDIA DGX Station with 4XTesla V100 GPUs.
+The training was run on an NVIDIA DGX Station with 4XTesla V100 GPUs.
 
 Training code is available at https://github.com/source-data/soda-roberta
 
 - Model fine-tuned: EMBL/bio-lm
 - Tokenizer vocab size: 50265
-- Training data: EMBO/sd-nlp
+- Training data: EMBO/sd-panels
 - Dataset configuration: GENEPROD_ROLES
 - Training with 48771 examples.
 - Evaluating on 13801 examples.