done

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: bert-base-uncased
+base_model: odunola/bert-based_uncased-finetuned-binary_hate_speech
 tags:
 - generated_from_trainer
 metrics:
@@ -18,13 +18,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-based_uncased-finetuned-binary_hate_speech
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [odunola/bert-based_uncased-finetuned-binary_hate_speech](https://huggingface.co/odunola/bert-based_uncased-finetuned-binary_hate_speech) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5093
-- Accuracy: 0.8300
-- F1: 0.8383
-- Precision: 0.7992
-- Recall: 0.8815
+- Loss: 0.8676
+- Accuracy: 0.8246
+- F1: 0.8326
+- Precision: 0.7961
+- Recall: 0.8727
 
 ## Model description
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4752        | 1.0   | 1941 | 0.4343          | 0.8135   | 0.8171 | 0.8017    | 0.8331 |
-| 0.3456        | 2.0   | 3882 | 0.4221          | 0.8305   | 0.8394 | 0.7974    | 0.8861 |
-| 0.2434        | 3.0   | 5823 | 0.5093          | 0.8300   | 0.8383 | 0.7992    | 0.8815 |
+| 0.259         | 1.0   | 1941 | 0.5296          | 0.8213   | 0.8269 | 0.8014    | 0.8542 |
+| 0.1841        | 2.0   | 3882 | 0.6760          | 0.8303   | 0.8402 | 0.7938    | 0.8923 |
+| 0.1218        | 3.0   | 5823 | 0.8676          | 0.8246   | 0.8326 | 0.7961    | 0.8727 |
 
 
 ### Framework versions
 
 - Transformers 4.34.1
-- Pytorch 2.1.0+cu118
+- Pytorch 2.0.1+cu118
 - Datasets 2.14.6
 - Tokenizers 0.14.1

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:0822e6d069b2830ea4fc189500a626507657bfa0207e439b7f3835f63fec3474
 size 438003505