End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: google-bert/bert-base-cased
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: my_awesome_model
   results: []
@@ -16,13 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.8182
-- eval_accuracy: 1.0
-- eval_runtime: 0.3162
-- eval_samples_per_second: 6.325
-- eval_steps_per_second: 3.163
-- epoch: 8.0
-- step: 8
+- Loss: 0.6437
+- Accuracy: 1.0
 
 ## Model description
 
@@ -47,7 +44,23 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
-- num_epochs: 50
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 1.1738          | 0.0      |
+| No log        | 2.0   | 2    | 1.0929          | 0.0      |
+| No log        | 3.0   | 3    | 0.9705          | 0.5      |
+| No log        | 4.0   | 4    | 0.8380          | 1.0      |
+| No log        | 5.0   | 5    | 0.7512          | 1.0      |
+| No log        | 6.0   | 6    | 0.6991          | 1.0      |
+| No log        | 7.0   | 7    | 0.6719          | 1.0      |
+| No log        | 8.0   | 8    | 0.6558          | 1.0      |
+| No log        | 9.0   | 9    | 0.6474          | 1.0      |
+| No log        | 10.0  | 10   | 0.6437          | 1.0      |
+
 
 ### Framework versions
 

runs/Mar04_14-55-46_135c7afc6602/events.out.tfevents.1741100147.135c7afc6602.239.1

@@ -1,3 +1,3 @@
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-size 8458
+oid sha256:66c40e48ebc27437977150f2e60f555b0de40fca0f074186f45b4e3aca82ca4c
+size 8806