done

README.md

@@ -1,13 +1,10 @@
 ---
-license: apache-2.0
-base_model: distilbert-base-uncased
+license: mit
+base_model: lucasresck/bert-base-cased-ag-news
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
-- f1
-- precision
-- recall
+datasets:
+- ag_news
 model-index:
 - name: bert-based_uncased-finetuned-binary_hate_speech
   results: []
@@ -18,13 +15,18 @@ 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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+This model is a fine-tuned version of [lucasresck/bert-base-cased-ag-news](https://huggingface.co/lucasresck/bert-base-cased-ag-news) on the ag_news dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4500
-- Accuracy: 0.8179
-- F1: 0.8255
-- Precision: 0.7924
-- Recall: 0.8614
+- eval_loss: 0.3032
+- eval_accuracy: 0.9426
+- eval_f1: 0.9426
+- eval_precision: 0.9428
+- eval_recall: 0.9426
+- eval_runtime: 12.9777
+- eval_samples_per_second: 585.618
+- eval_steps_per_second: 18.339
+- epoch: 2.0
+- step: 7500
 
 ## Model description
 
@@ -44,22 +46,13 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 1e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 3
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.4844        | 1.0   | 1941 | 0.4541          | 0.8002   | 0.8043 | 0.7877    | 0.8217 |
-| 0.3952        | 2.0   | 3882 | 0.4360          | 0.8138   | 0.8184 | 0.7985    | 0.8393 |
-| 0.3438        | 3.0   | 5823 | 0.4500          | 0.8179   | 0.8255 | 0.7924    | 0.8614 |
-
-
 ### Framework versions
 
 - Transformers 4.34.1

pytorch_model.bin

@@ -1,3 +1,3 @@
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+oid sha256:e0a2c87883e8b00a43d5c0618925ea840b68a0b430b9fcbae8e5f299105cf6f2
 size 433321777