End of training

README.md

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+---
+license: mit
+base_model: indobenchmark/indobart-v2
+tags:
+- generated_from_trainer
+metrics:
+- bleu
+model-index:
+- name: indobart-combined-jv-id
+  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. -->
+
+# indobart-combined-jv-id
+
+This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6285
+- Bleu: 16.9732
+- Gen Len: 19.4429
+
+## 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: 64
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu    | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| No log        | 1.0   | 94   | 0.8084          | 11.1865 | 19.5232 |
+| No log        | 2.0   | 188  | 0.7259          | 13.1223 | 19.478  |
+| No log        | 3.0   | 282  | 0.6905          | 14.6859 | 19.4366 |
+| No log        | 4.0   | 376  | 0.6682          | 15.2578 | 19.4216 |
+| No log        | 5.0   | 470  | 0.6536          | 15.9459 | 19.4366 |
+| 0.8734        | 6.0   | 564  | 0.6439          | 16.3189 | 19.4115 |
+| 0.8734        | 7.0   | 658  | 0.6367          | 16.7353 | 19.4228 |
+| 0.8734        | 8.0   | 752  | 0.6327          | 16.9575 | 19.4529 |
+| 0.8734        | 9.0   | 846  | 0.6300          | 17.093  | 19.4442 |
+| 0.8734        | 10.0  | 940  | 0.6285          | 16.9732 | 19.4429 |
+
+
+### Framework versions
+
+- Transformers 4.33.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

generation_config.json

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+{
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "early_stopping": true,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "no_repeat_ngram_size": 3,
+  "num_beams": 4,
+  "pad_token_id": 1,
+  "transformers_version": "4.33.1"
+}

pytorch_model.bin

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