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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: openthaigpt/openthaigpt-1.0.0-7b-chat |
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model-index: |
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- name: tian-ft8bit |
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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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# tian-ft8bit |
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This model is a fine-tuned version of [openthaigpt/openthaigpt-1.0.0-7b-chat](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-7b-chat) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3650 |
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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: 0.0002 |
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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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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_steps: 2 |
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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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| 2.6818 | 0.9362 | 11 | 1.2394 | |
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| 0.7417 | 1.9574 | 23 | 0.4204 | |
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| 0.3016 | 2.9787 | 35 | 0.3303 | |
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| 0.1401 | 4.0 | 47 | 0.3590 | |
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| 0.0825 | 4.9362 | 58 | 0.3573 | |
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| 0.0601 | 5.9574 | 70 | 0.3517 | |
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| 0.0515 | 6.9787 | 82 | 0.3590 | |
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| 0.0483 | 8.0 | 94 | 0.3617 | |
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| 0.05 | 8.9362 | 105 | 0.3620 | |
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| 0.0393 | 9.3617 | 110 | 0.3650 | |
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### Framework versions |
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- PEFT 0.10.0 |
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- Transformers 4.41.0 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.19.0 |
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- Tokenizers 0.19.1 |
