End of training

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- banking77
+- test_data
 metrics:
 - f1
 model-index:
@@ -13,15 +13,15 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: banking77
-      type: banking77
+      name: test_data
+      type: test_data
       config: default
       split: test
       args: default
     metrics:
     - name: F1
       type: f1
-      value: 0.9143928851356377
+      value: 0.6759600753101386
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test_model
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4471
-- F1: 0.9144
+- Loss: 0.7513
+- F1: 0.6760
 
 ## Model description
 
@@ -51,8 +51,8 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
-- train_batch_size: 32
+- learning_rate: 0.0001
+- train_batch_size: 64
 - eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 3.2969        | 1.0   | 313  | 1.3181          | 0.7547 |
-| 0.7366        | 2.0   | 626  | 0.5773          | 0.9023 |
-| 0.4286        | 3.0   | 939  | 0.4471          | 0.9144 |
+| No log        | 1.0   | 24   | 1.3216          | 0.6254 |
+| No log        | 2.0   | 48   | 0.9484          | 0.6670 |
+| No log        | 3.0   | 72   | 0.7513          | 0.6760 |
 
 
 ### Framework versions

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