| --- |
| license: mit |
| base_model: LuangMV97/GPT2_EmpAI |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: GPT2_EmpAI_FineTuned |
| results: [] |
| --- |
| |
| <!-- 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 |
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|
| This model is a fine-tuned version of [LuangMV97/GPT2_EmpAI](https://huggingface.co/LuangMV97/GPT2_EmpAI) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 2.7543 |
|
|
| ## 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: |
| - 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 | |
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| ### Framework versions |
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|
| - Transformers 4.38.2 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
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