End of training

README.md

@@ -9,7 +9,20 @@ metrics:
 - accuracy
 model-index:
 - name: opt-125m-finetuned-mnli
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      config: mnli
+      split: validation_matched
+      args: mnli
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.3543555781966378
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -19,8 +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: 1.2083
-- Accuracy: 0.3321
+- Loss: 1.8177
+- Accuracy: 0.3544
 
 ## Model description
 
@@ -39,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 0.0002
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -51,11 +64,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2018        | 1.0   | 1    | 1.2117          | 0.3312   |
-| 1.237         | 2.0   | 2    | 1.2083          | 0.3321   |
-| 1.2323        | 3.0   | 3    | 1.2057          | 0.3317   |
-| 1.1903        | 4.0   | 4    | 1.2041          | 0.3317   |
-| 1.1866        | 5.0   | 5    | 1.2032          | 0.3317   |
+| 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   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec03_01-32-17_e58bb28c2f23/events.out.tfevents.1701567150.e58bb28c2f23.15759.2

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