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README.txt
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---
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license: apache-2.0
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language:
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- th
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pipeline_tag: text-generation
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tags:
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- TGPT
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library_name: transformers
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datasets:
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- th_wikipedia
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model-index:
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- name: TGPT-2-345M
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results: []
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widget:
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- text: "ประเทศไทยเป็นประเทศที่"
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- text: "กรุงเทพเคยเกิด"
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- text: "ระบบสุริยะจักรวาลเป็น"
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---
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<!-- This model card has been generated automatically according to the information Keras had access to. You should
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probably proofread and complete it, then remove this comment. -->
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# TGPT-2-345M
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This model is a fine-tuned version of [](https://huggingface.co/) on an th_wikipedia dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 3.5955
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- Train Accuracy: 0.4289
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- Epoch: 1
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## Model description
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GPT-2
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## Intended uses & limitations
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-
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## Training and evaluation data
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-
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## Training procedure
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-
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### Training hyperparameters
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The following hyperparameters were used during training:
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- optimizer: {'name': 'Adam', 'weight_decay': None, 'clipnorm': 1.0, 'global_clipnorm': None, 'clipvalue': None, 'use_ema': False, 'ema_momentum': 0.99, 'ema_overwrite_frequency': None, 'jit_compile': True, 'is_legacy_optimizer': False, 'learning_rate': 3e-05, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
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- training_precision: float32
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### Training results
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| Train Loss | Train Accuracy | Epoch |
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|:----------:|:--------------:|:-----:|
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| 3.5955 | 0.4289 | 1 |
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### Framework versions
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- Transformers 4.26.0
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- TensorFlow 2.11.0
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- Datasets 2.10.0
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- Tokenizers 0.13.2
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