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: 0.08526422764227642
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -26,10 +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: 0.2056
-- Accuracy: 0.0853
+- Loss: 0.2104
+- Accuracy: 0.0852
 
 ## Model description
 
@@ -49,9 +37,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
+- train_batch_size: 4
 - eval_batch_size: 32
 - seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 1.0
@@ -61,7 +51,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.9481        | 0.78  | 25   | 0.2152          | 0.0850   |
+| 0.761         | 0.8   | 25   | 0.2104          | 0.0852   |
 
 
 ### Framework versions