update model card README.md

README.md

@@ -15,18 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # t5-small-finetuned-xsum
 
 This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the xsum dataset.
-It achieves the following results on the evaluation set:
-- eval_loss: 2.5035
-- eval_rouge1: 27.8289
-- eval_rouge2: 7.4394
-- eval_rougeL: 21.8436
-- eval_rougeLsum: 21.8522
-- eval_gen_len: 18.808
-- eval_runtime: 277.1343
-- eval_samples_per_second: 40.89
-- eval_steps_per_second: 1.281
-- epoch: 1.0
-- step: 6377
 
 ## Model description
 
@@ -46,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -56,7 +44,7 @@ The following hyperparameters were used during training:
 
 ### Framework versions
 
-- Transformers 4.16.2
-- Pytorch 1.9.0
+- Transformers 4.20.1
+- Pytorch 1.11.0+cu113
 - Datasets 2.3.2
-- Tokenizers 0.11.0
+- Tokenizers 0.12.1

runs/Jul11_13-18-27_04cfa46014bd/events.out.tfevents.1657545647.04cfa46014bd.713.4

@@ -1,3 +1,3 @@
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-size 4136
+oid sha256:d2b29782bd1be4b84838c309171098b460c8fe82485954da3b0aaa13ed35b7d2
+size 4543