votaquangnhat
commited on
End of training
Browse files
README.md
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---
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library_name: transformers
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base_model: NlpHUST/gpt2-vietnamese
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tags:
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- generated_from_trainer
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model-index:
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- name: vietnamese-poem-hustgpt2-namchu
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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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# vietnamese-poem-hustgpt2-namchu
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This model is a fine-tuned version of [NlpHUST/gpt2-vietnamese](https://huggingface.co/NlpHUST/gpt2-vietnamese) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.6570
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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: 4
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- eval_batch_size: 4
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- seed: 42
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- num_epochs: 10
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.8677 | 1.0 | 2037 | 3.8531 |
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| 3.7534 | 2.0 | 4074 | 3.7680 |
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| 3.6882 | 3.0 | 6111 | 3.7256 |
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| 3.6229 | 4.0 | 8148 | 3.7001 |
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| 3.5661 | 5.0 | 10185 | 3.6829 |
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| 3.5535 | 6.0 | 12222 | 3.6715 |
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| 3.5146 | 7.0 | 14259 | 3.6635 |
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| 3.505 | 8.0 | 16296 | 3.6602 |
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| 3.4933 | 9.0 | 18333 | 3.6578 |
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| 3.4628 | 10.0 | 20370 | 3.6570 |
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### Framework versions
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- Transformers 4.47.1
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- Pytorch 2.5.1+cu121
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- Tokenizers 0.21.0
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.47.1"
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}
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runs/Dec31_02-09-15_0ae51d5654c2/events.out.tfevents.1735610957.0ae51d5654c2.912.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:27fb9780ab3383420c13b51217a2ed8541c50f2cb5cfac5fb19ef8193a08971e
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size 16892
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