Text Generation
PEFT
Safetensors
Transformers
llama
axolotl
lora
conversational
text-generation-inference
Instructions to use mx003/cve_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use mx003/cve_model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Meta-Llama-3.1-8B-Instruct") model = PeftModel.from_pretrained(base_model, "mx003/cve_model") - Transformers
How to use mx003/cve_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="mx003/cve_model") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForCausalLM tokenizer = AutoTokenizer.from_pretrained("mx003/cve_model") model = AutoModelForCausalLM.from_pretrained("mx003/cve_model") messages = [ {"role": "user", "content": "Who are you?"}, ] inputs = tokenizer.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=40) print(tokenizer.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use mx003/cve_model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "mx003/cve_model" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mx003/cve_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/mx003/cve_model
- SGLang
How to use mx003/cve_model 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 "mx003/cve_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mx003/cve_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'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 "mx003/cve_model" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "mx003/cve_model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use mx003/cve_model with Docker Model Runner:
docker model run hf.co/mx003/cve_model
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.2727272727272725, | |
| "eval_steps": 500, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.045454545454545456, | |
| "grad_norm": 1.234143614768982, | |
| "learning_rate": 0.0, | |
| "loss": 0.5856, | |
| "memory/device_reserved (GiB)": 32.79, | |
| "memory/max_active (GiB)": 29.82, | |
| "memory/max_allocated (GiB)": 29.82, | |
| "step": 1, | |
| "tokens_per_second_per_gpu": 1177.42 | |
| }, | |
| { | |
| "epoch": 0.09090909090909091, | |
| "grad_norm": 1.2433714866638184, | |
| "learning_rate": 0.0001, | |
| "loss": 0.5849, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 2, | |
| "tokens_per_second_per_gpu": 1374.23 | |
| }, | |
| { | |
| "epoch": 0.13636363636363635, | |
| "grad_norm": 0.7277888655662537, | |
| "learning_rate": 0.0002, | |
| "loss": 0.3524, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 3, | |
| "tokens_per_second_per_gpu": 1492.46 | |
| }, | |
| { | |
| "epoch": 0.18181818181818182, | |
| "grad_norm": 0.7649520039558411, | |
| "learning_rate": 0.00019987954562051725, | |
| "loss": 0.1434, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 4, | |
| "tokens_per_second_per_gpu": 1487.31 | |
| }, | |
| { | |
| "epoch": 0.22727272727272727, | |
| "grad_norm": 0.6205183863639832, | |
| "learning_rate": 0.0001995184726672197, | |
| "loss": 0.1129, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 5, | |
| "tokens_per_second_per_gpu": 1230.96 | |
| }, | |
| { | |
| "epoch": 0.2727272727272727, | |
| "grad_norm": 0.42128750681877136, | |
| "learning_rate": 0.0001989176509964781, | |
| "loss": 0.0528, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 6, | |
| "tokens_per_second_per_gpu": 1193.16 | |
| }, | |
| { | |
| "epoch": 0.3181818181818182, | |
| "grad_norm": 0.2397449016571045, | |
| "learning_rate": 0.00019807852804032305, | |
| "loss": 0.0444, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 7, | |
| "tokens_per_second_per_gpu": 1290.71 | |
| }, | |
| { | |
| "epoch": 0.36363636363636365, | |
| "grad_norm": 0.2838428020477295, | |
| "learning_rate": 0.00019700312531945442, | |
| "loss": 0.0637, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 8, | |
| "tokens_per_second_per_gpu": 1274.6 | |
| }, | |
| { | |
| "epoch": 0.4090909090909091, | |
| "grad_norm": 0.21046645939350128, | |
| "learning_rate": 0.0001956940335732209, | |
| "loss": 0.0418, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 9, | |
| "tokens_per_second_per_gpu": 1336.17 | |
| }, | |
| { | |
| "epoch": 0.45454545454545453, | |
| "grad_norm": 0.21617285907268524, | |
| "learning_rate": 0.00019415440651830208, | |
| "loss": 0.0544, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 10, | |
| "tokens_per_second_per_gpu": 1197.26 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 0.17148727178573608, | |
| "learning_rate": 0.0001923879532511287, | |
| "loss": 0.0339, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 11, | |
| "tokens_per_second_per_gpu": 1285.65 | |
| }, | |
| { | |
| "epoch": 0.5454545454545454, | |
| "grad_norm": 0.16145595908164978, | |
| "learning_rate": 0.00019039892931234435, | |
| "loss": 0.0377, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 12, | |
| "tokens_per_second_per_gpu": 1244.59 | |
| }, | |
| { | |
| "epoch": 0.5909090909090909, | |
| "grad_norm": 0.13145197927951813, | |
| "learning_rate": 0.0001881921264348355, | |
| "loss": 0.0256, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 13, | |
| "tokens_per_second_per_gpu": 1372.2 | |
| }, | |
| { | |
| "epoch": 0.6363636363636364, | |
| "grad_norm": 0.13290230929851532, | |
| "learning_rate": 0.00018577286100002723, | |
| "loss": 0.0356, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 14, | |
| "tokens_per_second_per_gpu": 1302.02 | |
| }, | |
| { | |
| "epoch": 0.6818181818181818, | |
| "grad_norm": 0.16713210940361023, | |
| "learning_rate": 0.00018314696123025454, | |
| "loss": 0.0344, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 15, | |
| "tokens_per_second_per_gpu": 1461.31 | |
| }, | |
| { | |
| "epoch": 0.7272727272727273, | |
| "grad_norm": 0.13399545848369598, | |
| "learning_rate": 0.00018032075314806448, | |
| "loss": 0.0276, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 16, | |
| "tokens_per_second_per_gpu": 1290.94 | |
| }, | |
| { | |
| "epoch": 0.7727272727272727, | |
| "grad_norm": 0.13537150621414185, | |
| "learning_rate": 0.0001773010453362737, | |
| "loss": 0.0294, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 17, | |
| "tokens_per_second_per_gpu": 1297.86 | |
| }, | |
| { | |
| "epoch": 0.8181818181818182, | |
| "grad_norm": 0.17200890183448792, | |
| "learning_rate": 0.00017409511253549593, | |
| "loss": 0.0325, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 18, | |
| "tokens_per_second_per_gpu": 1397.83 | |
| }, | |
| { | |
| "epoch": 0.8636363636363636, | |
| "grad_norm": 0.15987926721572876, | |
| "learning_rate": 0.00017071067811865476, | |
| "loss": 0.0257, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 19, | |
| "tokens_per_second_per_gpu": 1383.02 | |
| }, | |
| { | |
| "epoch": 0.9090909090909091, | |
| "grad_norm": 0.13878504931926727, | |
| "learning_rate": 0.00016715589548470185, | |
| "loss": 0.0366, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 20, | |
| "tokens_per_second_per_gpu": 1265.2 | |
| }, | |
| { | |
| "epoch": 0.9545454545454546, | |
| "grad_norm": 0.11577529460191727, | |
| "learning_rate": 0.00016343932841636456, | |
| "loss": 0.0359, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 21, | |
| "tokens_per_second_per_gpu": 1304.73 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.11737319827079773, | |
| "learning_rate": 0.00015956993044924334, | |
| "loss": 0.0239, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 22, | |
| "tokens_per_second_per_gpu": 1178.56 | |
| }, | |
| { | |
| "epoch": 1.0454545454545454, | |
| "grad_norm": 0.07948925346136093, | |
| "learning_rate": 0.00015555702330196023, | |
| "loss": 0.0254, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 23, | |
| "tokens_per_second_per_gpu": 1413.56 | |
| }, | |
| { | |
| "epoch": 1.0909090909090908, | |
| "grad_norm": 0.08376588672399521, | |
| "learning_rate": 0.00015141027441932216, | |
| "loss": 0.0157, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 24, | |
| "tokens_per_second_per_gpu": 1346.91 | |
| }, | |
| { | |
| "epoch": 1.1363636363636362, | |
| "grad_norm": 0.10371027141809464, | |
| "learning_rate": 0.0001471396736825998, | |
| "loss": 0.0215, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 25, | |
| "tokens_per_second_per_gpu": 1324.34 | |
| }, | |
| { | |
| "epoch": 1.1818181818181819, | |
| "grad_norm": 0.09667334705591202, | |
| "learning_rate": 0.00014275550934302823, | |
| "loss": 0.0166, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 26, | |
| "tokens_per_second_per_gpu": 1206.6 | |
| }, | |
| { | |
| "epoch": 1.2272727272727273, | |
| "grad_norm": 0.1148822233080864, | |
| "learning_rate": 0.000138268343236509, | |
| "loss": 0.0184, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 27, | |
| "tokens_per_second_per_gpu": 1302.38 | |
| }, | |
| { | |
| "epoch": 1.2727272727272727, | |
| "grad_norm": 0.10378631949424744, | |
| "learning_rate": 0.000133688985339222, | |
| "loss": 0.0236, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 28, | |
| "tokens_per_second_per_gpu": 1368.17 | |
| }, | |
| { | |
| "epoch": 1.3181818181818181, | |
| "grad_norm": 0.0753244087100029, | |
| "learning_rate": 0.00012902846772544624, | |
| "loss": 0.0097, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 29, | |
| "tokens_per_second_per_gpu": 1367.39 | |
| }, | |
| { | |
| "epoch": 1.3636363636363638, | |
| "grad_norm": 0.06268369406461716, | |
| "learning_rate": 0.0001242980179903264, | |
| "loss": 0.0108, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 30, | |
| "tokens_per_second_per_gpu": 1301.1 | |
| }, | |
| { | |
| "epoch": 1.4090909090909092, | |
| "grad_norm": 0.09844817221164703, | |
| "learning_rate": 0.00011950903220161285, | |
| "loss": 0.0175, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 31, | |
| "tokens_per_second_per_gpu": 1302.37 | |
| }, | |
| { | |
| "epoch": 1.4545454545454546, | |
| "grad_norm": 0.12313925474882126, | |
| "learning_rate": 0.00011467304744553618, | |
| "loss": 0.0202, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 32, | |
| "tokens_per_second_per_gpu": 1467.43 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 0.0872587263584137, | |
| "learning_rate": 0.0001098017140329561, | |
| "loss": 0.012, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 33, | |
| "tokens_per_second_per_gpu": 1429.68 | |
| }, | |
| { | |
| "epoch": 1.5454545454545454, | |
| "grad_norm": 0.1298132985830307, | |
| "learning_rate": 0.00010490676743274181, | |
| "loss": 0.0238, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 34, | |
| "tokens_per_second_per_gpu": 1150.27 | |
| }, | |
| { | |
| "epoch": 1.5909090909090908, | |
| "grad_norm": 0.13134033977985382, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0235, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 35, | |
| "tokens_per_second_per_gpu": 1191.31 | |
| }, | |
| { | |
| "epoch": 1.6363636363636362, | |
| "grad_norm": 0.11833763122558594, | |
| "learning_rate": 9.509323256725821e-05, | |
| "loss": 0.0221, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 36, | |
| "tokens_per_second_per_gpu": 1315.84 | |
| }, | |
| { | |
| "epoch": 1.6818181818181817, | |
| "grad_norm": 0.1161683201789856, | |
| "learning_rate": 9.019828596704394e-05, | |
| "loss": 0.021, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 37, | |
| "tokens_per_second_per_gpu": 1331.9 | |
| }, | |
| { | |
| "epoch": 1.7272727272727273, | |
| "grad_norm": 0.13690337538719177, | |
| "learning_rate": 8.532695255446383e-05, | |
| "loss": 0.024, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 38, | |
| "tokens_per_second_per_gpu": 1355.23 | |
| }, | |
| { | |
| "epoch": 1.7727272727272727, | |
| "grad_norm": 0.11100757122039795, | |
| "learning_rate": 8.049096779838719e-05, | |
| "loss": 0.0184, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 39, | |
| "tokens_per_second_per_gpu": 1252.87 | |
| }, | |
| { | |
| "epoch": 1.8181818181818183, | |
| "grad_norm": 0.11401506513357162, | |
| "learning_rate": 7.570198200967362e-05, | |
| "loss": 0.0211, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 40, | |
| "tokens_per_second_per_gpu": 1204.12 | |
| }, | |
| { | |
| "epoch": 1.8636363636363638, | |
| "grad_norm": 0.0962221622467041, | |
| "learning_rate": 7.097153227455379e-05, | |
| "loss": 0.0136, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 41, | |
| "tokens_per_second_per_gpu": 1390.74 | |
| }, | |
| { | |
| "epoch": 1.9090909090909092, | |
| "grad_norm": 0.0952286571264267, | |
| "learning_rate": 6.6311014660778e-05, | |
| "loss": 0.0166, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 42, | |
| "tokens_per_second_per_gpu": 1350.28 | |
| }, | |
| { | |
| "epoch": 1.9545454545454546, | |
| "grad_norm": 0.09817808121442795, | |
| "learning_rate": 6.173165676349103e-05, | |
| "loss": 0.016, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 43, | |
| "tokens_per_second_per_gpu": 1316.92 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.1389278769493103, | |
| "learning_rate": 5.7244490656971815e-05, | |
| "loss": 0.0274, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 44, | |
| "tokens_per_second_per_gpu": 1031.7 | |
| }, | |
| { | |
| "epoch": 2.0454545454545454, | |
| "grad_norm": 0.07030683755874634, | |
| "learning_rate": 5.286032631740023e-05, | |
| "loss": 0.0126, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 45, | |
| "tokens_per_second_per_gpu": 1292.29 | |
| }, | |
| { | |
| "epoch": 2.090909090909091, | |
| "grad_norm": 0.09299763292074203, | |
| "learning_rate": 4.8589725580677835e-05, | |
| "loss": 0.0105, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 46, | |
| "tokens_per_second_per_gpu": 1355.66 | |
| }, | |
| { | |
| "epoch": 2.1363636363636362, | |
| "grad_norm": 0.186285600066185, | |
| "learning_rate": 4.444297669803981e-05, | |
| "loss": 0.0134, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 47, | |
| "tokens_per_second_per_gpu": 1198.91 | |
| }, | |
| { | |
| "epoch": 2.1818181818181817, | |
| "grad_norm": 0.06503765285015106, | |
| "learning_rate": 4.0430069550756665e-05, | |
| "loss": 0.0107, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 48, | |
| "tokens_per_second_per_gpu": 1293.9 | |
| }, | |
| { | |
| "epoch": 2.227272727272727, | |
| "grad_norm": 0.0671035498380661, | |
| "learning_rate": 3.6560671583635467e-05, | |
| "loss": 0.0082, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 49, | |
| "tokens_per_second_per_gpu": 1389.49 | |
| }, | |
| { | |
| "epoch": 2.2727272727272725, | |
| "grad_norm": 0.07254406809806824, | |
| "learning_rate": 3.2844104515298155e-05, | |
| "loss": 0.0106, | |
| "memory/device_reserved (GiB)": 33.2, | |
| "memory/max_active (GiB)": 30.44, | |
| "memory/max_allocated (GiB)": 30.44, | |
| "step": 50, | |
| "tokens_per_second_per_gpu": 1490.8 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 66, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 50, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 7.441454260341965e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |