Model save

README.md

@@ -0,0 +1,51 @@
+---
+base_model: google/pegasus-x-base
+tags:
+- generated_from_trainer
+model-index:
+- name: pegasus-x-base-testing-finetune-indosum
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+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.
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 1
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.32.1
+- Pytorch 2.0.0
+- Datasets 2.12.0
+- Tokenizers 0.13.3

generation_config.json

@@ -0,0 +1,12 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "forced_eos_token_id": 1,
+  "length_penalty": 0.8,
+  "max_length": 16384,
+  "num_beams": 8,
+  "pad_token_id": 0,
+  "transformers_version": "4.32.1"
+}

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0ee3abf2ab0cdf587ab79dcdb58f46024f8b7a82fc14f6c1e68ff5d245712ec5
+oid sha256:33d0fc8e14af8496be4c1d2897be47bedebd4ebec2d52df97d535057cfacc7e9
 size 1089301733

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:5371bb80a5baed0e0a07831bc7080f1ee1a3b1d14ecc04f799df196c5822566a
+oid sha256:9cdef5403bb23d732495c504928beb5944b35ec069f18e757aff240aed057fa6
 size 4219