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GPT2_EmpAI_FineTuned
LuangMV97/GPT2_EmpAI_FineTuned
GPT2_EmpAI_FineTuned is a text generation model from LuangMV97. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Apr 11, 2024
- Updated
- Apr 11, 2024
- SHA
- 2c7b8726
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
GPT2_EmpAI_FineTuned
This model is a fine-tuned version of LuangMV97/GPT2_EmpAI on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.7543
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 8000
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6015 | 1.0 | 5998 | 2.7805 |
| 2.5131 | 2.0 | 11997 | 2.7572 |
| 2.3998 | 3.0 | 17994 | 2.7543 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 11, 2024
- Updated
- Apr 11, 2024