Model save

README.md

@@ -0,0 +1,68 @@
+---
+license: apache-2.0
+base_model: LazarusNLP/IndoNanoT5-base
+tags:
+- generated_from_trainer
+metrics:
+- rouge
+model-index:
+- name: summarization-base-1
+  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. -->
+
+# summarization-base-1
+
+This model is a fine-tuned version of [LazarusNLP/IndoNanoT5-base](https://huggingface.co/LazarusNLP/IndoNanoT5-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5103
+- Rouge1: 0.4427
+- Rouge2: 0.0
+- Rougel: 0.4423
+- Rougelsum: 0.4403
+- Gen Len: 1.0
+
+## 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: 5e-05
+- train_batch_size: 4
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
+| 0.6316        | 1.0   | 3566  | 0.4807          | 0.4602 | 0.0    | 0.4604 | 0.4565    | 1.0     |
+| 0.4336        | 2.0   | 7132  | 0.4717          | 0.4661 | 0.0    | 0.466  | 0.4622    | 1.0     |
+| 0.3363        | 3.0   | 10698 | 0.4723          | 0.4799 | 0.0    | 0.479  | 0.4762    | 1.0     |
+| 0.2656        | 4.0   | 14264 | 0.4825          | 0.4713 | 0.0    | 0.4703 | 0.4666    | 1.0     |
+| 0.219         | 5.0   | 17830 | 0.5103          | 0.4427 | 0.0    | 0.4423 | 0.4403    | 1.0     |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

generation_config.json

@@ -0,0 +1,6 @@
+{
+  "decoder_start_token_id": 0,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.40.2"
+}