Instructions to use zharry29/step_benchmark_gpt with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zharry29/step_benchmark_gpt with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("zharry29/step_benchmark_gpt") model = AutoModel.from_pretrained("zharry29/step_benchmark_gpt", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update is_test_false_eval_results.txt
Browse files
is_test_false_eval_results.txt
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model =gpt2
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total batch size=40
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train num epochs=10
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fp16 =True
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max seq length =40
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eval_acc = 0.836
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eval_loss = 1.0890175614092086
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