Training in progress, epoch 3

README.md

@@ -3,6 +3,8 @@ license: mit
 base_model: xlm-roberta-base
 tags:
 - generated_from_trainer
+datasets:
+- id_nergrit_corpus
 metrics:
 - precision
 - recall
@@ -40,7 +42,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # xlm-roberta-base-ner-silvanus
 
-This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on Named Entity Recognition (NER) Task.
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the id_nergrit_corpus dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0635
 - Precision: 0.9186
@@ -87,4 +89,4 @@ The following hyperparameters were used during training:
 - Transformers 4.35.0
 - Pytorch 2.1.0+cu118
 - Datasets 2.14.6
-- Tokenizers 0.14.1
+- Tokenizers 0.14.1

model.safetensors

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 size 1109857804

runs/Nov14_23-33-01_server-cvis/events.out.tfevents.1700004806.server-cvis.816047.0

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