End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.3543555781966378
+      value: 0.35517065715741214
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.8177
-- Accuracy: 0.3544
+- Loss: 1.7566
+- Accuracy: 0.3552
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0002
+- learning_rate: 2e-06
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -64,11 +64,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.0072        | 1.0   | 1    | 2.3236          | 0.3325   |
-| 0.4544        | 2.0   | 2    | 1.8177          | 0.3544   |
-| 0.0899        | 3.0   | 3    | 1.7630          | 0.3319   |
-| 0.0474        | 4.0   | 4    | 1.7078          | 0.3446   |
-| 0.0048        | 5.0   | 5    | 1.7089          | 0.3435   |
+| 0.0726        | 1.0   | 1    | 1.7835          | 0.3536   |
+| 0.1157        | 2.0   | 2    | 1.7566          | 0.3552   |
+| 0.0624        | 3.0   | 3    | 1.7372          | 0.3548   |
+| 0.07          | 4.0   | 4    | 1.7249          | 0.3544   |
+| 0.0689        | 5.0   | 5    | 1.7189          | 0.3545   |
 
 
 ### Framework versions

model.safetensors

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