End of training

README.md

@@ -9,20 +9,7 @@ metrics:
 - accuracy
 model-index:
 - name: opt-125m-finetuned-mnli
-  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: 0.34111054508405503
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +19,8 @@ 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: 1.2230
-- Accuracy: 0.3411
+- Loss: 1.2083
+- Accuracy: 0.3321
 
 ## Model description
 
@@ -64,16 +51,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2506        | 1.0   | 1    | 1.2157          | 0.3374   |
-| 0.7567        | 2.0   | 2    | 1.2243          | 0.3364   |
-| 0.5481        | 3.0   | 3    | 1.2259          | 0.3371   |
-| 0.4338        | 4.0   | 4    | 1.2238          | 0.3391   |
-| 0.3292        | 5.0   | 5    | 1.2230          | 0.3411   |
+| 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   |
 
 
 ### Framework versions
 
-- Transformers 4.35.2
+- Transformers 4.36.0.dev0
 - Pytorch 2.1.0+cu118
 - Datasets 2.15.0
 - Tokenizers 0.15.0

adapter_model.safetensors

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