Text Generation
Transformers
Safetensors
qwen2
llama-factory
full
Generated from Trainer
conversational
text-generation-inference
Instructions to use wang-king/Code_Translation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use wang-king/Code_Translation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="wang-king/Code_Translation") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("wang-king/Code_Translation") model = AutoModelForMultimodalLM.from_pretrained("wang-king/Code_Translation") 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 wang-king/Code_Translation with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "wang-king/Code_Translation" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "wang-king/Code_Translation", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/wang-king/Code_Translation
- SGLang
How to use wang-king/Code_Translation 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 "wang-king/Code_Translation" \ --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": "wang-king/Code_Translation", "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 "wang-king/Code_Translation" \ --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": "wang-king/Code_Translation", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use wang-king/Code_Translation with Docker Model Runner:
docker model run hf.co/wang-king/Code_Translation
| {"current_steps": 10, "total_steps": 974, "loss": 0.1517, "lr": 9.99789342773948e-06, "epoch": 0.02053915275994865, "percentage": 1.03, "elapsed_time": "0:03:47", "remaining_time": "6:05:24"} | |
| {"current_steps": 20, "total_steps": 974, "loss": 0.1347, "lr": 9.99061372843304e-06, "epoch": 0.0410783055198973, "percentage": 2.05, "elapsed_time": "0:07:34", "remaining_time": "6:01:18"} | |
| {"current_steps": 30, "total_steps": 974, "loss": 0.12, "lr": 9.978142466031648e-06, "epoch": 0.06161745827984596, "percentage": 3.08, "elapsed_time": "0:11:22", "remaining_time": "5:57:51"} | |
| {"current_steps": 40, "total_steps": 974, "loss": 0.1187, "lr": 9.960492613958845e-06, "epoch": 0.0821566110397946, "percentage": 4.11, "elapsed_time": "0:15:08", "remaining_time": "5:53:23"} | |
| {"current_steps": 50, "total_steps": 974, "loss": 0.1146, "lr": 9.937682532746152e-06, "epoch": 0.10269576379974327, "percentage": 5.13, "elapsed_time": "0:18:51", "remaining_time": "5:48:35"} | |
| {"current_steps": 60, "total_steps": 974, "loss": 0.1111, "lr": 9.90973595093323e-06, "epoch": 0.12323491655969192, "percentage": 6.16, "elapsed_time": "0:22:38", "remaining_time": "5:44:49"} | |
| {"current_steps": 70, "total_steps": 974, "loss": 0.1073, "lr": 9.87668194038392e-06, "epoch": 0.14377406931964057, "percentage": 7.19, "elapsed_time": "0:26:22", "remaining_time": "5:40:41"} | |
| {"current_steps": 80, "total_steps": 974, "loss": 0.1077, "lr": 9.838554886043768e-06, "epoch": 0.1643132220795892, "percentage": 8.21, "elapsed_time": "0:30:08", "remaining_time": "5:36:44"} | |
| {"current_steps": 90, "total_steps": 974, "loss": 0.1087, "lr": 9.795394450170566e-06, "epoch": 0.18485237483953787, "percentage": 9.24, "elapsed_time": "0:33:53", "remaining_time": "5:32:57"} | |
| {"current_steps": 100, "total_steps": 974, "loss": 0.1052, "lr": 9.747245531075069e-06, "epoch": 0.20539152759948653, "percentage": 10.27, "elapsed_time": "0:37:40", "remaining_time": "5:29:12"} | |
| {"current_steps": 110, "total_steps": 974, "loss": 0.1061, "lr": 9.694158216414836e-06, "epoch": 0.22593068035943517, "percentage": 11.29, "elapsed_time": "0:41:27", "remaining_time": "5:25:38"} | |
| {"current_steps": 120, "total_steps": 974, "loss": 0.1024, "lr": 9.63618773108977e-06, "epoch": 0.24646983311938384, "percentage": 12.32, "elapsed_time": "0:45:11", "remaining_time": "5:21:38"} | |
| {"current_steps": 130, "total_steps": 974, "loss": 0.1032, "lr": 9.573394379793557e-06, "epoch": 0.26700898587933247, "percentage": 13.35, "elapsed_time": "0:48:57", "remaining_time": "5:17:52"} | |
| {"current_steps": 140, "total_steps": 974, "loss": 0.1063, "lr": 9.505843484280783e-06, "epoch": 0.28754813863928114, "percentage": 14.37, "elapsed_time": "0:52:43", "remaining_time": "5:14:05"} | |
| {"current_steps": 150, "total_steps": 974, "loss": 0.1027, "lr": 9.433605315414967e-06, "epoch": 0.3080872913992298, "percentage": 15.4, "elapsed_time": "0:56:27", "remaining_time": "5:10:09"} | |
| {"current_steps": 160, "total_steps": 974, "loss": 0.0995, "lr": 9.356755020068201e-06, "epoch": 0.3286264441591784, "percentage": 16.43, "elapsed_time": "1:00:14", "remaining_time": "5:06:29"} | |
| {"current_steps": 170, "total_steps": 974, "loss": 0.1017, "lr": 9.275372542948466e-06, "epoch": 0.3491655969191271, "percentage": 17.45, "elapsed_time": "1:04:01", "remaining_time": "5:02:47"} | |
| {"current_steps": 180, "total_steps": 974, "loss": 0.1015, "lr": 9.189542543435909e-06, "epoch": 0.36970474967907574, "percentage": 18.48, "elapsed_time": "1:07:47", "remaining_time": "4:59:02"} | |
| {"current_steps": 190, "total_steps": 974, "loss": 0.099, "lr": 9.099354307514607e-06, "epoch": 0.3902439024390244, "percentage": 19.51, "elapsed_time": "1:11:34", "remaining_time": "4:55:19"} | |
| {"current_steps": 200, "total_steps": 974, "loss": 0.0989, "lr": 9.004901654891453e-06, "epoch": 0.41078305519897307, "percentage": 20.53, "elapsed_time": "1:15:21", "remaining_time": "4:51:36"} | |
| {"current_steps": 210, "total_steps": 974, "loss": 0.096, "lr": 8.906282841398747e-06, "epoch": 0.4313222079589217, "percentage": 21.56, "elapsed_time": "1:19:04", "remaining_time": "4:47:41"} | |
| {"current_steps": 220, "total_steps": 974, "loss": 0.0957, "lr": 8.803600456782053e-06, "epoch": 0.45186136071887034, "percentage": 22.59, "elapsed_time": "1:22:50", "remaining_time": "4:43:55"} | |
| {"current_steps": 230, "total_steps": 974, "loss": 0.0959, "lr": 8.696961317979622e-06, "epoch": 0.472400513478819, "percentage": 23.61, "elapsed_time": "1:26:37", "remaining_time": "4:40:11"} | |
| {"current_steps": 240, "total_steps": 974, "loss": 0.0954, "lr": 8.586476358004427e-06, "epoch": 0.49293966623876767, "percentage": 24.64, "elapsed_time": "1:30:22", "remaining_time": "4:36:22"} | |
| {"current_steps": 250, "total_steps": 974, "loss": 0.0958, "lr": 8.472260510544383e-06, "epoch": 0.5134788189987163, "percentage": 25.67, "elapsed_time": "1:34:07", "remaining_time": "4:32:35"} | |
| {"current_steps": 260, "total_steps": 974, "loss": 0.0934, "lr": 8.354432590400792e-06, "epoch": 0.5340179717586649, "percentage": 26.69, "elapsed_time": "1:37:52", "remaining_time": "4:28:46"} | |
| {"current_steps": 270, "total_steps": 974, "loss": 0.0964, "lr": 8.23311516988942e-06, "epoch": 0.5545571245186136, "percentage": 27.72, "elapsed_time": "1:41:37", "remaining_time": "4:24:59"} | |
| {"current_steps": 280, "total_steps": 974, "loss": 0.094, "lr": 8.10843445133274e-06, "epoch": 0.5750962772785623, "percentage": 28.75, "elapsed_time": "1:45:24", "remaining_time": "4:21:15"} | |
| {"current_steps": 290, "total_steps": 974, "loss": 0.0908, "lr": 7.980520135776023e-06, "epoch": 0.5956354300385109, "percentage": 29.77, "elapsed_time": "1:49:10", "remaining_time": "4:17:29"} | |
| {"current_steps": 300, "total_steps": 974, "loss": 0.092, "lr": 7.849505288063808e-06, "epoch": 0.6161745827984596, "percentage": 30.8, "elapsed_time": "1:52:56", "remaining_time": "4:13:43"} | |
| {"current_steps": 310, "total_steps": 974, "loss": 0.0889, "lr": 7.71552619841716e-06, "epoch": 0.6367137355584083, "percentage": 31.83, "elapsed_time": "1:56:43", "remaining_time": "4:10:00"} | |
| {"current_steps": 320, "total_steps": 974, "loss": 0.0914, "lr": 7.578722240655645e-06, "epoch": 0.6572528883183568, "percentage": 32.85, "elapsed_time": "2:00:28", "remaining_time": "4:06:12"} | |
| {"current_steps": 330, "total_steps": 974, "loss": 0.0885, "lr": 7.43923572721156e-06, "epoch": 0.6777920410783055, "percentage": 33.88, "elapsed_time": "2:04:15", "remaining_time": "4:02:28"} | |
| {"current_steps": 340, "total_steps": 974, "loss": 0.0918, "lr": 7.297211761087229e-06, "epoch": 0.6983311938382541, "percentage": 34.91, "elapsed_time": "2:08:01", "remaining_time": "3:58:44"} | |
| {"current_steps": 350, "total_steps": 974, "loss": 0.0865, "lr": 7.152798084909365e-06, "epoch": 0.7188703465982028, "percentage": 35.93, "elapsed_time": "2:11:44", "remaining_time": "3:54:53"} | |
| {"current_steps": 360, "total_steps": 974, "loss": 0.0866, "lr": 7.006144927237505e-06, "epoch": 0.7394094993581515, "percentage": 36.96, "elapsed_time": "2:15:29", "remaining_time": "3:51:05"} | |
| {"current_steps": 370, "total_steps": 974, "loss": 0.0871, "lr": 6.857404846286444e-06, "epoch": 0.7599486521181001, "percentage": 37.99, "elapsed_time": "2:19:16", "remaining_time": "3:47:21"} | |
| {"current_steps": 380, "total_steps": 974, "loss": 0.0884, "lr": 6.706732571225183e-06, "epoch": 0.7804878048780488, "percentage": 39.01, "elapsed_time": "2:23:01", "remaining_time": "3:43:34"} | |
| {"current_steps": 390, "total_steps": 974, "loss": 0.085, "lr": 6.554284841217519e-06, "epoch": 0.8010269576379975, "percentage": 40.04, "elapsed_time": "2:26:48", "remaining_time": "3:39:50"} | |
| {"current_steps": 400, "total_steps": 974, "loss": 0.0861, "lr": 6.400220242371714e-06, "epoch": 0.8215661103979461, "percentage": 41.07, "elapsed_time": "2:30:33", "remaining_time": "3:36:03"} | |
| {"current_steps": 410, "total_steps": 974, "loss": 0.0852, "lr": 6.244699042768835e-06, "epoch": 0.8421052631578947, "percentage": 42.09, "elapsed_time": "2:34:19", "remaining_time": "3:32:17"} | |
| {"current_steps": 420, "total_steps": 974, "loss": 0.0838, "lr": 6.087883025741408e-06, "epoch": 0.8626444159178434, "percentage": 43.12, "elapsed_time": "2:38:06", "remaining_time": "3:28:32"} | |
| {"current_steps": 430, "total_steps": 974, "loss": 0.0865, "lr": 5.929935321575806e-06, "epoch": 0.883183568677792, "percentage": 44.15, "elapsed_time": "2:41:52", "remaining_time": "3:24:47"} | |
| {"current_steps": 440, "total_steps": 974, "loss": 0.0837, "lr": 5.771020237813448e-06, "epoch": 0.9037227214377407, "percentage": 45.17, "elapsed_time": "2:45:37", "remaining_time": "3:21:00"} | |
| {"current_steps": 450, "total_steps": 974, "loss": 0.0879, "lr": 5.611303088327331e-06, "epoch": 0.9242618741976893, "percentage": 46.2, "elapsed_time": "2:49:24", "remaining_time": "3:17:16"} | |
| {"current_steps": 460, "total_steps": 974, "loss": 0.0876, "lr": 5.450950021351725e-06, "epoch": 0.944801026957638, "percentage": 47.23, "elapsed_time": "2:53:10", "remaining_time": "3:13:30"} | |
| {"current_steps": 470, "total_steps": 974, "loss": 0.0851, "lr": 5.290127846643903e-06, "epoch": 0.9653401797175867, "percentage": 48.25, "elapsed_time": "2:56:56", "remaining_time": "3:09:44"} | |
| {"current_steps": 480, "total_steps": 974, "loss": 0.0827, "lr": 5.129003861957706e-06, "epoch": 0.9858793324775353, "percentage": 49.28, "elapsed_time": "3:00:43", "remaining_time": "3:05:59"} | |
| {"current_steps": 490, "total_steps": 974, "loss": 0.0749, "lr": 4.967745679009474e-06, "epoch": 1.0061617458279846, "percentage": 50.31, "elapsed_time": "3:04:26", "remaining_time": "3:02:11"} | |
| {"current_steps": 500, "total_steps": 974, "loss": 0.0626, "lr": 4.806521049117363e-06, "epoch": 1.0267008985879333, "percentage": 51.33, "elapsed_time": "3:08:13", "remaining_time": "2:58:26"} | |
| {"current_steps": 510, "total_steps": 974, "loss": 0.0621, "lr": 4.645497688695444e-06, "epoch": 1.047240051347882, "percentage": 52.36, "elapsed_time": "3:11:58", "remaining_time": "2:54:39"} | |
| {"current_steps": 520, "total_steps": 974, "loss": 0.0626, "lr": 4.484843104784106e-06, "epoch": 1.0677792041078304, "percentage": 53.39, "elapsed_time": "3:15:46", "remaining_time": "2:50:55"} | |
| {"current_steps": 530, "total_steps": 974, "loss": 0.0608, "lr": 4.32472442079828e-06, "epoch": 1.0883183568677792, "percentage": 54.41, "elapsed_time": "3:19:31", "remaining_time": "2:47:09"} | |
| {"current_steps": 540, "total_steps": 974, "loss": 0.0626, "lr": 4.165308202674704e-06, "epoch": 1.1088575096277278, "percentage": 55.44, "elapsed_time": "3:23:18", "remaining_time": "2:43:24"} | |
| {"current_steps": 550, "total_steps": 974, "loss": 0.0594, "lr": 4.006760285599146e-06, "epoch": 1.1293966623876766, "percentage": 56.47, "elapsed_time": "3:27:03", "remaining_time": "2:39:37"} | |
| {"current_steps": 560, "total_steps": 974, "loss": 0.0563, "lr": 3.849245601493784e-06, "epoch": 1.149935815147625, "percentage": 57.49, "elapsed_time": "3:30:45", "remaining_time": "2:35:48"} | |
| {"current_steps": 570, "total_steps": 974, "loss": 0.0589, "lr": 3.69292800744422e-06, "epoch": 1.1704749679075739, "percentage": 58.52, "elapsed_time": "3:34:28", "remaining_time": "2:32:00"} | |
| {"current_steps": 580, "total_steps": 974, "loss": 0.0602, "lr": 3.5379701152446184e-06, "epoch": 1.1910141206675224, "percentage": 59.55, "elapsed_time": "3:38:14", "remaining_time": "2:28:15"} | |
| {"current_steps": 590, "total_steps": 974, "loss": 0.0572, "lr": 3.384533122238267e-06, "epoch": 1.2115532734274712, "percentage": 60.57, "elapsed_time": "3:42:00", "remaining_time": "2:24:29"} | |
| {"current_steps": 600, "total_steps": 974, "loss": 0.0601, "lr": 3.2327766436295618e-06, "epoch": 1.2320924261874198, "percentage": 61.6, "elapsed_time": "3:45:47", "remaining_time": "2:20:44"} | |
| {"current_steps": 610, "total_steps": 974, "loss": 0.0605, "lr": 3.0828585464418013e-06, "epoch": 1.2526315789473683, "percentage": 62.63, "elapsed_time": "3:49:34", "remaining_time": "2:16:59"} | |
| {"current_steps": 620, "total_steps": 974, "loss": 0.0597, "lr": 2.934934785293593e-06, "epoch": 1.273170731707317, "percentage": 63.66, "elapsed_time": "3:53:20", "remaining_time": "2:13:13"} | |
| {"current_steps": 630, "total_steps": 974, "loss": 0.058, "lr": 2.7891592401646406e-06, "epoch": 1.2937098844672656, "percentage": 64.68, "elapsed_time": "3:57:06", "remaining_time": "2:09:28"} | |
| {"current_steps": 640, "total_steps": 974, "loss": 0.0574, "lr": 2.6456835563197194e-06, "epoch": 1.3142490372272144, "percentage": 65.71, "elapsed_time": "4:00:52", "remaining_time": "2:05:42"} | |
| {"current_steps": 650, "total_steps": 974, "loss": 0.0591, "lr": 2.504656986557342e-06, "epoch": 1.334788189987163, "percentage": 66.74, "elapsed_time": "4:04:39", "remaining_time": "2:01:57"} | |
| {"current_steps": 660, "total_steps": 974, "loss": 0.0587, "lr": 2.3662262359472326e-06, "epoch": 1.3553273427471118, "percentage": 67.76, "elapsed_time": "4:08:25", "remaining_time": "1:58:11"} | |
| {"current_steps": 670, "total_steps": 974, "loss": 0.0592, "lr": 2.2305353092181014e-06, "epoch": 1.3758664955070603, "percentage": 68.79, "elapsed_time": "4:12:11", "remaining_time": "1:54:25"} | |
| {"current_steps": 680, "total_steps": 974, "loss": 0.0588, "lr": 2.09772536095451e-06, "epoch": 1.396405648267009, "percentage": 69.82, "elapsed_time": "4:15:58", "remaining_time": "1:50:40"} | |
| {"current_steps": 690, "total_steps": 974, "loss": 0.0588, "lr": 1.967934548758621e-06, "epoch": 1.4169448010269576, "percentage": 70.84, "elapsed_time": "4:19:45", "remaining_time": "1:46:54"} | |
| {"current_steps": 700, "total_steps": 974, "loss": 0.0555, "lr": 1.8412978895296223e-06, "epoch": 1.4374839537869062, "percentage": 71.87, "elapsed_time": "4:23:29", "remaining_time": "1:43:08"} | |
| {"current_steps": 710, "total_steps": 974, "loss": 0.0568, "lr": 1.7179471190103103e-06, "epoch": 1.458023106546855, "percentage": 72.9, "elapsed_time": "4:27:14", "remaining_time": "1:39:21"} | |
| {"current_steps": 720, "total_steps": 974, "loss": 0.0584, "lr": 1.5980105547469443e-06, "epoch": 1.4785622593068035, "percentage": 73.92, "elapsed_time": "4:31:00", "remaining_time": "1:35:36"} | |
| {"current_steps": 730, "total_steps": 974, "loss": 0.0578, "lr": 1.4816129626049365e-06, "epoch": 1.4991014120667523, "percentage": 74.95, "elapsed_time": "4:34:47", "remaining_time": "1:31:50"} | |
| {"current_steps": 740, "total_steps": 974, "loss": 0.0579, "lr": 1.3688754269792297e-06, "epoch": 1.5196405648267008, "percentage": 75.98, "elapsed_time": "4:38:34", "remaining_time": "1:28:05"} | |
| {"current_steps": 750, "total_steps": 974, "loss": 0.0567, "lr": 1.2599152248343848e-06, "epoch": 1.5401797175866494, "percentage": 77.0, "elapsed_time": "4:42:19", "remaining_time": "1:24:19"} | |
| {"current_steps": 760, "total_steps": 974, "loss": 0.0581, "lr": 1.1548457037054089e-06, "epoch": 1.5607188703465982, "percentage": 78.03, "elapsed_time": "4:46:06", "remaining_time": "1:20:33"} | |
| {"current_steps": 770, "total_steps": 974, "loss": 0.0563, "lr": 1.0537761637862198e-06, "epoch": 1.581258023106547, "percentage": 79.06, "elapsed_time": "4:49:52", "remaining_time": "1:16:47"} | |
| {"current_steps": 780, "total_steps": 974, "loss": 0.0556, "lr": 9.568117442284375e-07, "epoch": 1.6017971758664955, "percentage": 80.08, "elapsed_time": "4:53:37", "remaining_time": "1:13:01"} | |
| {"current_steps": 790, "total_steps": 974, "loss": 0.0556, "lr": 8.640533137687523e-07, "epoch": 1.622336328626444, "percentage": 81.11, "elapsed_time": "4:57:24", "remaining_time": "1:09:16"} | |
| {"current_steps": 800, "total_steps": 974, "loss": 0.0571, "lr": 7.755973657986648e-07, "epoch": 1.6428754813863928, "percentage": 82.14, "elapsed_time": "5:01:10", "remaining_time": "1:05:30"} | |
| {"current_steps": 810, "total_steps": 974, "loss": 0.0555, "lr": 6.91535917985739e-07, "epoch": 1.6634146341463416, "percentage": 83.16, "elapsed_time": "5:04:56", "remaining_time": "1:01:44"} | |
| {"current_steps": 820, "total_steps": 974, "loss": 0.0553, "lr": 6.119564165508057e-07, "epoch": 1.6839537869062902, "percentage": 84.19, "elapsed_time": "5:08:42", "remaining_time": "0:57:58"} | |
| {"current_steps": 830, "total_steps": 974, "loss": 0.0575, "lr": 5.369416453006764e-07, "epoch": 1.7044929396662387, "percentage": 85.22, "elapsed_time": "5:12:28", "remaining_time": "0:54:12"} | |
| {"current_steps": 840, "total_steps": 974, "loss": 0.054, "lr": 4.665696395110081e-07, "epoch": 1.7250320924261873, "percentage": 86.24, "elapsed_time": "5:16:15", "remaining_time": "0:50:27"} | |
| {"current_steps": 850, "total_steps": 974, "loss": 0.0563, "lr": 4.009136047489026e-07, "epoch": 1.745571245186136, "percentage": 87.27, "elapsed_time": "5:20:01", "remaining_time": "0:46:41"} | |
| {"current_steps": 860, "total_steps": 974, "loss": 0.054, "lr": 3.400418407196826e-07, "epoch": 1.7661103979460848, "percentage": 88.3, "elapsed_time": "5:23:46", "remaining_time": "0:42:55"} | |
| {"current_steps": 870, "total_steps": 974, "loss": 0.054, "lr": 2.840176702170683e-07, "epoch": 1.7866495507060334, "percentage": 89.32, "elapsed_time": "5:27:30", "remaining_time": "0:39:09"} | |
| {"current_steps": 880, "total_steps": 974, "loss": 0.0566, "lr": 2.3289937325065902e-07, "epoch": 1.807188703465982, "percentage": 90.35, "elapsed_time": "5:31:16", "remaining_time": "0:35:23"} | |
| {"current_steps": 890, "total_steps": 974, "loss": 0.0543, "lr": 1.8674012641925642e-07, "epoch": 1.8277278562259307, "percentage": 91.38, "elapsed_time": "5:35:01", "remaining_time": "0:31:37"} | |
| {"current_steps": 900, "total_steps": 974, "loss": 0.057, "lr": 1.455879475930827e-07, "epoch": 1.8482670089858795, "percentage": 92.4, "elapsed_time": "5:38:47", "remaining_time": "0:27:51"} | |
| {"current_steps": 910, "total_steps": 974, "loss": 0.0572, "lr": 1.0948564596244937e-07, "epoch": 1.868806161745828, "percentage": 93.43, "elapsed_time": "5:42:33", "remaining_time": "0:24:05"} | |
| {"current_steps": 920, "total_steps": 974, "loss": 0.0553, "lr": 7.847077750483489e-08, "epoch": 1.8893453145057766, "percentage": 94.46, "elapsed_time": "5:46:18", "remaining_time": "0:20:19"} | |
| {"current_steps": 930, "total_steps": 974, "loss": 0.0546, "lr": 5.257560591669764e-08, "epoch": 1.9098844672657251, "percentage": 95.48, "elapsed_time": "5:50:04", "remaining_time": "0:16:33"} | |
| {"current_steps": 940, "total_steps": 974, "loss": 0.0571, "lr": 3.182706905067001e-08, "epoch": 1.930423620025674, "percentage": 96.51, "elapsed_time": "5:53:50", "remaining_time": "0:12:47"} | |
| {"current_steps": 950, "total_steps": 974, "loss": 0.0559, "lr": 1.624675089303529e-08, "epoch": 1.9509627727856227, "percentage": 97.54, "elapsed_time": "5:57:36", "remaining_time": "0:09:02"} | |
| {"current_steps": 960, "total_steps": 974, "loss": 0.0572, "lr": 5.850859110658191e-09, "epoch": 1.9715019255455712, "percentage": 98.56, "elapsed_time": "6:01:19", "remaining_time": "0:05:16"} | |
| {"current_steps": 970, "total_steps": 974, "loss": 0.0544, "lr": 6.502081907039381e-10, "epoch": 1.9920410783055198, "percentage": 99.59, "elapsed_time": "6:05:06", "remaining_time": "0:01:30"} | |
| {"current_steps": 974, "total_steps": 974, "epoch": 2.0, "percentage": 100.0, "elapsed_time": "6:08:07", "remaining_time": "0:00:00"} | |