update model card README.md

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6912
-- Accuracy: 0.57
+- Loss: 0.7376
+- Accuracy: 0.6020
 
 ## Model description
 
@@ -37,12 +37,14 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 42
 - distributed_type: multi-GPU
-- gradient_accumulation_steps: 4
+- num_devices: 4
+- gradient_accumulation_steps: 2
 - total_train_batch_size: 64
+- total_eval_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 5
@@ -51,11 +53,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.57  | 1    | 0.6911          | 0.58     |
-| No log        | 1.57  | 2    | 0.6912          | 0.57     |
-| No log        | 2.57  | 3    | 0.6912          | 0.57     |
-| No log        | 3.57  | 4    | 0.6912          | 0.57     |
-| No log        | 4.57  | 5    | 0.6912          | 0.57     |
+| 0.6521        | 1.0   | 1451 | 0.6670          | 0.6037   |
+| 0.6101        | 2.0   | 2902 | 0.6763          | 0.6022   |
+| 0.5772        | 3.0   | 4353 | 0.7034          | 0.6026   |
+| 0.5503        | 4.0   | 5804 | 0.7215          | 0.6024   |
+| 0.5347        | 5.0   | 7255 | 0.7376          | 0.6020   |
 
 
 ### Framework versions