Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Instructions to use frett/clm-gpt2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use frett/clm-gpt2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="frett/clm-gpt2")# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("frett/clm-gpt2") model = AutoModelForCausalLM.from_pretrained("frett/clm-gpt2") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use frett/clm-gpt2 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "frett/clm-gpt2" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "frett/clm-gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/frett/clm-gpt2
- SGLang
How to use frett/clm-gpt2 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "frett/clm-gpt2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "frett/clm-gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "frett/clm-gpt2" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "frett/clm-gpt2", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }' - Docker Model Runner
How to use frett/clm-gpt2 with Docker Model Runner:
docker model run hf.co/frett/clm-gpt2
End of training
Browse files- all_results.json +16 -0
- eval_results.json +10 -0
- runs/Oct04_16-35-53_Turing/events.out.tfevents.1728088566.Turing.1254601.1 +3 -0
- train_results.json +9 -0
- trainer_state.json +410 -0
all_results.json
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{
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"epoch": 2.9996095275283094,
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"eval_accuracy": 0.6325420522781227,
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"eval_loss": 1.5053555965423584,
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"eval_runtime": 516.8924,
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"eval_samples": 15400,
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"eval_samples_per_second": 29.793,
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"eval_steps_per_second": 7.448,
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| 9 |
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"perplexity": 4.505755576552062,
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"total_flos": 9.6346733543424e+16,
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"train_loss": 1.6814149037051365,
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"train_runtime": 28276.4686,
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"train_samples": 61463,
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"train_samples_per_second": 6.521,
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"train_steps_per_second": 0.408
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}
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eval_results.json
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{
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"epoch": 2.9996095275283094,
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"eval_accuracy": 0.6325420522781227,
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"eval_loss": 1.5053555965423584,
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| 5 |
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"eval_runtime": 516.8924,
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| 6 |
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"eval_samples": 15400,
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| 7 |
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"eval_samples_per_second": 29.793,
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| 8 |
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"eval_steps_per_second": 7.448,
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| 9 |
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"perplexity": 4.505755576552062
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}
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runs/Oct04_16-35-53_Turing/events.out.tfevents.1728088566.Turing.1254601.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:69d5fb7c2dcdf245c690bf10cb2e288269f3c6d3f125da97c5d9a2f191ca56cf
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size 363
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train_results.json
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{
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"epoch": 2.9996095275283094,
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"total_flos": 9.6346733543424e+16,
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"train_loss": 1.6814149037051365,
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"train_runtime": 28276.4686,
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"train_samples": 61463,
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"train_samples_per_second": 6.521,
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"train_steps_per_second": 0.408
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}
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trainer_state.json
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| 1 |
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{
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