jainsatyam26/bert-base-uncased-gretel-safety-alignment-classifier

README.md

@@ -15,15 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # results
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 0.5240
-- eval_model_preparation_time: 0.0045
-- eval_accuracy: 0.8757
-- eval_f1_score: 0.8762
-- eval_runtime: 9.6734
-- eval_samples_per_second: 122.294
-- eval_steps_per_second: 15.3
-- step: 0
 
 ## Model description
 

config.json

@@ -36,7 +36,6 @@
   "num_hidden_layers": 12,
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
-  "problem_type": "single_label_classification",
   "tie_word_embeddings": true,
   "transformers_version": "5.0.0",
   "type_vocab_size": 2,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:f94144ffbe12f75eaaf2afdc0afc916a9e0f4850a025d8cd0731a7947c0fe1ea
+oid sha256:20f7600dfda6061861bdceec7a1655bda9b52d258cdb6dd98fc449351478ff45
 size 437967852