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End of training
Browse files- README.md +65 -0
- generation_config.json +7 -0
README.md
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---
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base_model: Wikidepia/IndoT5-base
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tags:
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- generated_from_trainer
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model-index:
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- name: my-random-t5-ft
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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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# my-random-t5-ft
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This model is a fine-tuned version of [Wikidepia/IndoT5-base](https://huggingface.co/Wikidepia/IndoT5-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0023
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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: 5e-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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 1.1845 | 0.1 | 1629 | 0.0037 |
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| 0.0059 | 0.2 | 3258 | 0.0027 |
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| 0.0048 | 0.3 | 4887 | 0.0026 |
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| 0.003 | 0.4 | 6516 | 0.0028 |
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| 0.0039 | 0.5 | 8145 | 0.0022 |
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| 0.0023 | 0.6 | 9774 | 0.0023 |
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| 0.0024 | 0.7 | 11403 | 0.0019 |
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| 0.0015 | 0.8 | 13032 | 0.0022 |
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| 0.0011 | 0.9 | 14661 | 0.0024 |
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| 0.0018 | 1.0 | 16290 | 0.0023 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.19.0
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- Tokenizers 0.15.2
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.39.3"
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}
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