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--- |
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license: unknown |
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base_model: openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: out |
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results: [] |
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language: |
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- th |
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pipeline_tag: text-generation |
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datasets: |
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- allenai/MADLAD-400 |
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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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[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl) |
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# ping98k/th-7b-20gb-base |
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This model is a continue pre-training version of [openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf](https://huggingface.co/openthaigpt/openthaigpt-1.0.0-beta-7b-chat-ckpt-hf) on the 20GB Thai dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.5721 |
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## Inference with Pipeline |
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```python |
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import torch |
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from transformers import pipeline |
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text_generator = pipeline("text-generation", model="ping98k/th-7b-20gb-base", torch_dtype=torch.bfloat16, device_map="auto") |
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print(text_generator("แบบจำลองทางวิทยาศาสตร์ (scientific modeling) คือ", max_length=50)) |
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``` |
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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: 0.00015 |
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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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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- total_eval_batch_size: 8 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- lr_scheduler_warmup_steps: 100 |
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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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| 4.0347 | 0.0 | 1 | 4.0530 | |
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| 2.2753 | 0.05 | 1179 | 2.2083 | |
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| 2.1613 | 0.1 | 2358 | 2.0422 | |
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| 2.0696 | 0.15 | 3537 | 1.9526 | |
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| 1.945 | 0.2 | 4716 | 1.8886 | |
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| 1.6807 | 0.25 | 5895 | 1.8340 | |
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| 1.5838 | 0.3 | 7074 | 1.7961 | |
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| 1.7497 | 0.35 | 8253 | 1.7548 | |
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| 1.535 | 0.4 | 9432 | 1.7237 | |
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| 1.9632 | 0.45 | 10611 | 1.6878 | |
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| 1.9091 | 0.5 | 11790 | 1.6631 | |
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| 1.6837 | 0.55 | 12969 | 1.6344 | |
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| 1.7054 | 0.6 | 14148 | 1.6131 | |
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| 1.463 | 0.65 | 15327 | 1.5980 | |
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| 1.5538 | 0.7 | 16506 | 1.5853 | |
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| 1.5095 | 0.75 | 17685 | 1.5780 | |
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| 1.7322 | 0.8 | 18864 | 1.5742 | |
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| 1.5645 | 0.85 | 20043 | 1.5727 | |
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| 1.72 | 0.9 | 21222 | 1.5722 | |
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| 1.5882 | 0.95 | 22401 | 1.5721 | |
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### Framework versions |
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- Transformers 4.35.1 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.7 |
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- Tokenizers 0.14.1 |
