End of training

README.md

@@ -3,6 +3,8 @@ license: apache-2.0
 base_model: google-bert/bert-base-uncased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: arg-quality-regression
   results: []
@@ -15,16 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-uncased](https://huggingface.co/google-bert/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.0372
-- eval_mse: 0.0372
-- eval_mae: 0.1427
-- eval_r2: 0.0590
-- eval_accuracy: 0.9800
-- eval_runtime: 94.3321
-- eval_samples_per_second: 66.944
-- eval_steps_per_second: 4.187
-- epoch: 4.0
-- step: 6048
+- Loss: 0.0342
+- Mse: 0.0342
+- Mae: 0.1359
+- R2: 0.1353
+- Accuracy: 0.9808
 
 ## Model description
 
@@ -51,6 +48,23 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 11
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Mse    | Mae    | R2      | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:-------:|:--------:|
+| 0.0277        | 1.0   | 1512  | 0.0398          | 0.0398 | 0.1450 | -0.0046 | 0.9736   |
+| 0.0218        | 2.0   | 3024  | 0.0342          | 0.0342 | 0.1359 | 0.1353  | 0.9808   |
+| 0.0169        | 3.0   | 4536  | 0.0367          | 0.0367 | 0.1409 | 0.0717  | 0.9783   |
+| 0.0114        | 4.0   | 6048  | 0.0400          | 0.0400 | 0.1477 | -0.0108 | 0.9751   |
+| 0.0075        | 5.0   | 7560  | 0.0439          | 0.0439 | 0.1564 | -0.1093 | 0.9704   |
+| 0.006         | 6.0   | 9072  | 0.0465          | 0.0465 | 0.1626 | -0.1749 | 0.9661   |
+| 0.0051        | 7.0   | 10584 | 0.0429          | 0.0429 | 0.1574 | -0.0851 | 0.9729   |
+| 0.0037        | 8.0   | 12096 | 0.0440          | 0.0440 | 0.1590 | -0.1123 | 0.9720   |
+| 0.0035        | 9.0   | 13608 | 0.0412          | 0.0412 | 0.1534 | -0.0401 | 0.9755   |
+| 0.0029        | 10.0  | 15120 | 0.0415          | 0.0415 | 0.1537 | -0.0487 | 0.9743   |
+| 0.0028        | 11.0  | 16632 | 0.0438          | 0.0438 | 0.1589 | -0.1080 | 0.9712   |
+
+
 ### Framework versions
 
 - Transformers 4.40.1

model.safetensors

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