End of training

README.md

@@ -1,8 +1,10 @@
 ---
-license: apache-2.0
-base_model: bert-base-cased
+license: mit
+base_model: roberta-base
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: test_trainer
   results: []
@@ -13,14 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_trainer
 
-This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8984
-- eval_accuracy: 0.767
-- eval_runtime: 70.0721
-- eval_samples_per_second: 28.542
-- eval_steps_per_second: 3.568
-- step: 0
+- Loss: 0.6790
+- Accuracy: 0.748
 
 ## Model description
 
@@ -47,6 +45,18 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 3
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7981        | 0.5   | 500  | 0.7390          | 0.711    |
+| 0.7508        | 1.0   | 1000 | 0.7916          | 0.722    |
+| 0.7078        | 1.5   | 1500 | 0.6803          | 0.7465   |
+| 0.6977        | 2.0   | 2000 | 0.6704          | 0.741    |
+| 0.6499        | 2.5   | 2500 | 0.7036          | 0.7355   |
+| 0.6203        | 3.0   | 3000 | 0.6790          | 0.748    |
+
+
 ### Framework versions
 
 - Transformers 4.35.0

model.safetensors

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runs/Nov11_10-20-22_f74aa28ae74e/events.out.tfevents.1699698084.f74aa28ae74e.154.0

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