End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.23076923076923078
+      value: 0.38461538461538464
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the glue dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7104
-- Accuracy: 0.2308
+- Loss: 0.7029
+- Accuracy: 0.3846
 
 ## Model description
 
@@ -56,7 +56,6 @@ The following hyperparameters were used during training:
 - train_batch_size: 16
 - eval_batch_size: 32
 - seed: 1
-- distributed_type: multi-GPU
 - gradient_accumulation_steps: 2
 - total_train_batch_size: 32
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08

pytorch_model.bin

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training_args.bin

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