Model save

README.md

@@ -13,6 +13,8 @@ should probably proofread and complete it, then remove this comment. -->
 # pegasus-x-base-testing-finetune-indosum
 
 This model is a fine-tuned version of [google/pegasus-x-base](https://huggingface.co/google/pegasus-x-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: nan
 
 ## Model description
 
@@ -32,8 +34,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -41,6 +43,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 0.0           | 1.0   | 17839 | nan             |
 
 
 ### Framework versions
@@ -48,4 +53,4 @@ The following hyperparameters were used during training:
 - Transformers 4.32.1
 - Pytorch 2.0.0
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.2

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:2b784d226bfab50c4e8158d5a2077c60bc993cf8653413bb481d4d58b6dae3cc
 size 1089301733