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update model card README.md
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README.md
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---
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license: mit
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base_model: indobenchmark/indobart-v2
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tags:
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- generated_from_trainer
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model-index:
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- name: indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-10
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# indobart-v2-amr-to-text-linearized-penman-ilmy-epochs-10
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This model is a fine-tuned version of [indobenchmark/indobart-v2](https://huggingface.co/indobenchmark/indobart-v2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2386
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 331 | 0.1912 |
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| 0.2498 | 2.0 | 662 | 0.1993 |
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| 0.2498 | 3.0 | 993 | 0.1935 |
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| 0.0285 | 4.0 | 1324 | 0.2173 |
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| 0.0118 | 5.0 | 1655 | 0.2263 |
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| 0.0118 | 6.0 | 1986 | 0.2247 |
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| 0.0067 | 7.0 | 2317 | 0.2365 |
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| 0.0045 | 8.0 | 2648 | 0.2363 |
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| 0.0045 | 9.0 | 2979 | 0.2383 |
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| 0.0034 | 10.0 | 3310 | 0.2386 |
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### Framework versions
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- Transformers 4.31.0
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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