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-en-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-en-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: 0.4035
+- Bleu: 20.4747
+- Gen Len: 19.134
+
+## 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: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
+| 0.914         | 1.0   | 503  | 0.5118          | 14.8205 | 19.2874 |
+| 0.5805        | 2.0   | 1006 | 0.4606          | 17.2483 | 19.236  |
+| 0.4971        | 3.0   | 1509 | 0.4370          | 18.4965 | 19.2449 |
+| 0.4444        | 4.0   | 2012 | 0.4251          | 19.3336 | 19.1765 |
+| 0.4037        | 5.0   | 2515 | 0.4152          | 19.6643 | 19.1648 |
+| 0.3732        | 6.0   | 3018 | 0.4103          | 20.0701 | 19.1987 |
+| 0.3503        | 7.0   | 3521 | 0.4066          | 20.1264 | 19.1258 |
+| 0.3325        | 8.0   | 4024 | 0.4040          | 20.5349 | 19.1571 |
+| 0.3207        | 9.0   | 4527 | 0.4041          | 20.4371 | 19.1348 |
+| 0.3116        | 10.0  | 5030 | 0.4035          | 20.4747 | 19.134  |
+
+
+### Framework versions
+
+- Transformers 4.33.3
+- 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": "4.33.3"
+}

pytorch_model.bin

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