Instructions to use augustocsc/Se124M100KInfPrompt_endtoken with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use augustocsc/Se124M100KInfPrompt_endtoken with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("gpt2") model = PeftModel.from_pretrained(base_model, "augustocsc/Se124M100KInfPrompt_endtoken") - Notebooks
- Google Colab
- Kaggle
End of fine-tuning training
Browse files- all_results.json +5 -5
- eval_results.json +6 -6
all_results.json
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"epoch": 50.0,
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"eval_steps_per_second": 5.
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"perplexity": 2.
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"total_flos": 1.49878932701184e+17,
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"train_loss": 0.18437957987751993,
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"train_runtime": 7319.2549,
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{
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"epoch": 50.0,
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"eval_loss": 0.6956692934036255,
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"eval_runtime": 59.8322,
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"eval_samples_per_second": 163.257,
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"eval_steps_per_second": 5.114,
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"perplexity": 2.005050592091695,
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"total_flos": 1.49878932701184e+17,
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"train_loss": 0.18437957987751993,
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"train_runtime": 7319.2549,
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eval_results.json
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"eval_steps_per_second": 5.
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"perplexity": 2.
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{
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"epoch": 50.0,
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"eval_loss": 0.6956692934036255,
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"eval_runtime": 59.8322,
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"eval_samples_per_second": 163.257,
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"eval_steps_per_second": 5.114,
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"perplexity": 2.005050592091695
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}
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