update model card README.md

README.md

@@ -2,23 +2,11 @@
 license: other
 tags:
 - generated_from_trainer
-datasets:
-- AlekseyKorshuk/amazon-reviews-input-output
 metrics:
 - accuracy
 model-index:
 - name: amazon-reviews-input-output
-  results:
-  - task:
-      name: Causal Language Modeling
-      type: text-generation
-    dataset:
-      name: AlekseyKorshuk/amazon-reviews-input-output
-      type: AlekseyKorshuk/amazon-reviews-input-output
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.08528455284552845
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,13 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # amazon-reviews-input-output
 
-This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the AlekseyKorshuk/amazon-reviews-input-output dataset.
+This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2066
-- Accuracy: 0.0853
-- Samples: 100
-- Perplexity: 1.2294
-- Table: <wandb.data_types.Table object at 0x7fa696205a60>
+- Loss: 3.0587
+- Accuracy: 0.0372
 
 ## Model description
 
@@ -66,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.761         | 0.8   | 25   | 0.2104          | 0.0852   |
+| 3.2766        | 0.8   | 25   | 3.0587          | 0.0372   |
 
 
 ### Framework versions