Update README.md

README.md

@@ -1,18 +1,18 @@
 ---
 base_model: microsoft/mpnet-base
 tags:
-- generated_from_trainer
-model-index:
-- name: mpnet-base-fineweb-edu-llama3-annotations-512-vN
-  results: []
-inference: False
+- edu score
+- data filter
+inference: false
+datasets:
+- HuggingFaceFW/fineweb-edu-llama3-annotations
+license: mit
+language:
+- en
 ---
 
-<!-- This model card has been generated automatically according to the information the Trainer had access to. You
-should probably proofread and complete it, then remove this comment. -->
-
 [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pszemraj/eduscore-regression/runs/k2lc9nx3)
-# mpnet-base-fineweb-edu-llama3-annotations-512-vN
+# mpnet-base-edu-classifier
 
 This model is a fine-tuned version of [microsoft/mpnet-base](https://huggingface.co/microsoft/mpnet-base) on the HuggingFaceFW/fineweb-edu-llama3-annotations dataset.
 It achieves the following results on the evaluation set:
@@ -62,4 +62,4 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-09
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.05
-- num_epochs: 1.0
+- num_epochs: 1.0