Instructions to use Gege24/r2cont-6f1d-4gpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gege24/r2cont-6f1d-4gpu with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Gege24/clobber-ic-9770-mcts-merged") model = PeftModel.from_pretrained(base_model, "Gege24/r2cont-6f1d-4gpu") - Transformers
How to use Gege24/r2cont-6f1d-4gpu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gege24/r2cont-6f1d-4gpu") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gege24/r2cont-6f1d-4gpu", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Gege24/r2cont-6f1d-4gpu with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gege24/r2cont-6f1d-4gpu" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Gege24/r2cont-6f1d-4gpu", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Gege24/r2cont-6f1d-4gpu
- SGLang
How to use Gege24/r2cont-6f1d-4gpu 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 "Gege24/r2cont-6f1d-4gpu" \ --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": "Gege24/r2cont-6f1d-4gpu", "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 "Gege24/r2cont-6f1d-4gpu" \ --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": "Gege24/r2cont-6f1d-4gpu", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Gege24/r2cont-6f1d-4gpu with Docker Model Runner:
docker model run hf.co/Gege24/r2cont-6f1d-4gpu
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.2658788774002954, | |
| "eval_steps": 500, | |
| "global_step": 540, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.002461841457410143, | |
| "grad_norm": 4.863656520843506, | |
| "learning_rate": 4.302e-06, | |
| "loss": 1.089, | |
| "mean_token_accuracy": 0.814908242225647, | |
| "num_tokens": 321007.0, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.004923682914820286, | |
| "grad_norm": 1.8138774633407593, | |
| "learning_rate": 9.6795e-06, | |
| "loss": 0.78, | |
| "mean_token_accuracy": 0.8449344515800477, | |
| "num_tokens": 642166.0, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.007385524372230428, | |
| "grad_norm": 1.0333073139190674, | |
| "learning_rate": 1.5056999999999998e-05, | |
| "loss": 0.4551, | |
| "mean_token_accuracy": 0.892854881286621, | |
| "num_tokens": 965077.0, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.009847365829640572, | |
| "grad_norm": 0.7795208096504211, | |
| "learning_rate": 2.04345e-05, | |
| "loss": 0.2095, | |
| "mean_token_accuracy": 0.9469747185707093, | |
| "num_tokens": 1285948.0, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.012309207287050714, | |
| "grad_norm": 0.3677549362182617, | |
| "learning_rate": 2.1509842516210667e-05, | |
| "loss": 0.054, | |
| "mean_token_accuracy": 0.9857019901275634, | |
| "num_tokens": 1607712.0, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.014771048744460856, | |
| "grad_norm": 0.1727459728717804, | |
| "learning_rate": 2.1509202748855685e-05, | |
| "loss": 0.024, | |
| "mean_token_accuracy": 0.9930675268173218, | |
| "num_tokens": 1928019.0, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.017232890201871, | |
| "grad_norm": 0.10718400031328201, | |
| "learning_rate": 2.1508070894201505e-05, | |
| "loss": 0.0165, | |
| "mean_token_accuracy": 0.9949277758598327, | |
| "num_tokens": 2249242.0, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.019694731659281144, | |
| "grad_norm": 0.06165456026792526, | |
| "learning_rate": 2.1506447021304556e-05, | |
| "loss": 0.0225, | |
| "mean_token_accuracy": 0.9936946630477905, | |
| "num_tokens": 2570223.0, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.022156573116691284, | |
| "grad_norm": 0.05492320656776428, | |
| "learning_rate": 2.150433122924014e-05, | |
| "loss": 0.0222, | |
| "mean_token_accuracy": 0.9935277819633483, | |
| "num_tokens": 2890223.0, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.024618414574101428, | |
| "grad_norm": 0.12794291973114014, | |
| "learning_rate": 2.1501723647096418e-05, | |
| "loss": 0.0282, | |
| "mean_token_accuracy": 0.9920882940292358, | |
| "num_tokens": 3212891.0, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.02708025603151157, | |
| "grad_norm": 0.058887798339128494, | |
| "learning_rate": 2.149862443396651e-05, | |
| "loss": 0.0171, | |
| "mean_token_accuracy": 0.9939746260643005, | |
| "num_tokens": 3534669.0, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.029542097488921712, | |
| "grad_norm": 0.04351770132780075, | |
| "learning_rate": 2.1495033778938793e-05, | |
| "loss": 0.0187, | |
| "mean_token_accuracy": 0.9938419580459594, | |
| "num_tokens": 3855274.0, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.032003938946331856, | |
| "grad_norm": 0.07655734568834305, | |
| "learning_rate": 2.149095190108538e-05, | |
| "loss": 0.0193, | |
| "mean_token_accuracy": 0.9937954783439636, | |
| "num_tokens": 4177238.0, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.034465780403742, | |
| "grad_norm": 0.11325498670339584, | |
| "learning_rate": 2.1486379049448737e-05, | |
| "loss": 0.0201, | |
| "mean_token_accuracy": 0.9936431646347046, | |
| "num_tokens": 4499030.0, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.03692762186115214, | |
| "grad_norm": 0.05018791928887367, | |
| "learning_rate": 2.1481315503026496e-05, | |
| "loss": 0.0179, | |
| "mean_token_accuracy": 0.9939479827880859, | |
| "num_tokens": 4820095.0, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.03938946331856229, | |
| "grad_norm": 0.03790418058633804, | |
| "learning_rate": 2.1475761570754427e-05, | |
| "loss": 0.0215, | |
| "mean_token_accuracy": 0.9932880401611328, | |
| "num_tokens": 5141458.0, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.041851304775972424, | |
| "grad_norm": 0.0859006866812706, | |
| "learning_rate": 2.1469717591487602e-05, | |
| "loss": 0.0186, | |
| "mean_token_accuracy": 0.9938247919082641, | |
| "num_tokens": 5463752.0, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.04431314623338257, | |
| "grad_norm": 0.07740197330713272, | |
| "learning_rate": 2.1463183933979705e-05, | |
| "loss": 0.0147, | |
| "mean_token_accuracy": 0.9945960640907288, | |
| "num_tokens": 5787431.0, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.04677498769079271, | |
| "grad_norm": 0.047287341207265854, | |
| "learning_rate": 2.1456160996860543e-05, | |
| "loss": 0.023, | |
| "mean_token_accuracy": 0.9928844809532166, | |
| "num_tokens": 6109152.0, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.049236829148202856, | |
| "grad_norm": 0.05829532817006111, | |
| "learning_rate": 2.144864920861172e-05, | |
| "loss": 0.0117, | |
| "mean_token_accuracy": 0.9954191327095032, | |
| "num_tokens": 6431705.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.051698670605613, | |
| "grad_norm": 0.05723382532596588, | |
| "learning_rate": 2.144064902754051e-05, | |
| "loss": 0.0154, | |
| "mean_token_accuracy": 0.9943364858627319, | |
| "num_tokens": 6752736.0, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.05416051206302314, | |
| "grad_norm": 0.044273972511291504, | |
| "learning_rate": 2.1432160941751866e-05, | |
| "loss": 0.0143, | |
| "mean_token_accuracy": 0.99447603225708, | |
| "num_tokens": 7073483.0, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.05662235352043329, | |
| "grad_norm": 0.03600989282131195, | |
| "learning_rate": 2.142318546911867e-05, | |
| "loss": 0.014, | |
| "mean_token_accuracy": 0.9947222352027894, | |
| "num_tokens": 7394385.0, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.059084194977843424, | |
| "grad_norm": 0.06433593481779099, | |
| "learning_rate": 2.1413723157250112e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9951158881187439, | |
| "num_tokens": 7714463.0, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.06154603643525357, | |
| "grad_norm": 0.04521690681576729, | |
| "learning_rate": 2.1403774583458295e-05, | |
| "loss": 0.0113, | |
| "mean_token_accuracy": 0.9955456614494324, | |
| "num_tokens": 8035037.0, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.06400787789266371, | |
| "grad_norm": 0.041315168142318726, | |
| "learning_rate": 2.1393340354723012e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9949990749359131, | |
| "num_tokens": 8356667.0, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.06646971935007386, | |
| "grad_norm": 0.05133018270134926, | |
| "learning_rate": 2.13824211076547e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9947412252426148, | |
| "num_tokens": 8677204.0, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.068931560807484, | |
| "grad_norm": 0.11235912144184113, | |
| "learning_rate": 2.1371017508455625e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9950397968292236, | |
| "num_tokens": 8998263.0, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.07139340226489414, | |
| "grad_norm": 0.04020993784070015, | |
| "learning_rate": 2.1359130252879188e-05, | |
| "loss": 0.0115, | |
| "mean_token_accuracy": 0.9955047130584717, | |
| "num_tokens": 9318743.0, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.07385524372230429, | |
| "grad_norm": 0.036466777324676514, | |
| "learning_rate": 2.1346760066187538e-05, | |
| "loss": 0.0123, | |
| "mean_token_accuracy": 0.9949952602386475, | |
| "num_tokens": 9639416.0, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.07631708517971443, | |
| "grad_norm": 0.048606228083372116, | |
| "learning_rate": 2.1333907703107276e-05, | |
| "loss": 0.0124, | |
| "mean_token_accuracy": 0.9953677892684937, | |
| "num_tokens": 9960679.0, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.07877892663712457, | |
| "grad_norm": 0.04641677811741829, | |
| "learning_rate": 2.1320573947783423e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9949431777000427, | |
| "num_tokens": 10281860.0, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.08124076809453472, | |
| "grad_norm": 0.03626161813735962, | |
| "learning_rate": 2.1306759613731585e-05, | |
| "loss": 0.0125, | |
| "mean_token_accuracy": 0.9951719403266907, | |
| "num_tokens": 10602773.0, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.08370260955194485, | |
| "grad_norm": 0.05205853655934334, | |
| "learning_rate": 2.1292465543788306e-05, | |
| "loss": 0.0155, | |
| "mean_token_accuracy": 0.9943783760070801, | |
| "num_tokens": 10924549.0, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.08616445100935499, | |
| "grad_norm": 0.035130131989717484, | |
| "learning_rate": 2.127769261005965e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9950395941734314, | |
| "num_tokens": 11245489.0, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.08862629246676514, | |
| "grad_norm": 0.033537521958351135, | |
| "learning_rate": 2.1262441713867998e-05, | |
| "loss": 0.0105, | |
| "mean_token_accuracy": 0.9956490755081177, | |
| "num_tokens": 11566883.0, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.09108813392417528, | |
| "grad_norm": 0.057261981070041656, | |
| "learning_rate": 2.1246713785697052e-05, | |
| "loss": 0.0173, | |
| "mean_token_accuracy": 0.9939020276069641, | |
| "num_tokens": 11888530.0, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.09354997538158542, | |
| "grad_norm": 0.04334254190325737, | |
| "learning_rate": 2.1230509785135057e-05, | |
| "loss": 0.0159, | |
| "mean_token_accuracy": 0.9945520758628845, | |
| "num_tokens": 12210957.0, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.09601181683899557, | |
| "grad_norm": 0.04960763081908226, | |
| "learning_rate": 2.1213830700816276e-05, | |
| "loss": 0.0175, | |
| "mean_token_accuracy": 0.9940741300582886, | |
| "num_tokens": 12533023.0, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.09847365829640571, | |
| "grad_norm": 0.07423041760921478, | |
| "learning_rate": 2.1196677550360644e-05, | |
| "loss": 0.0176, | |
| "mean_token_accuracy": 0.9938151836395264, | |
| "num_tokens": 12855021.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.10093549975381585, | |
| "grad_norm": 0.053134091198444366, | |
| "learning_rate": 2.1179051380311706e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9949296712875366, | |
| "num_tokens": 13176812.0, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.103397341211226, | |
| "grad_norm": 0.04765772819519043, | |
| "learning_rate": 2.116095326607275e-05, | |
| "loss": 0.014, | |
| "mean_token_accuracy": 0.9948251724243165, | |
| "num_tokens": 13497620.0, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.10585918266863614, | |
| "grad_norm": 0.040181875228881836, | |
| "learning_rate": 2.11423843118412e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9949268341064453, | |
| "num_tokens": 13820439.0, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.10832102412604629, | |
| "grad_norm": 0.027366064488887787, | |
| "learning_rate": 2.1123345650541254e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9947750210762024, | |
| "num_tokens": 14141877.0, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.11078286558345643, | |
| "grad_norm": 0.03280498832464218, | |
| "learning_rate": 2.110383844375474e-05, | |
| "loss": 0.014, | |
| "mean_token_accuracy": 0.9947653651237488, | |
| "num_tokens": 14463239.0, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.11324470704086657, | |
| "grad_norm": 0.042962074279785156, | |
| "learning_rate": 2.1083863881650274e-05, | |
| "loss": 0.0114, | |
| "mean_token_accuracy": 0.9954652309417724, | |
| "num_tokens": 14783936.0, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.11570654849827672, | |
| "grad_norm": 0.05033653974533081, | |
| "learning_rate": 2.1063423182910628e-05, | |
| "loss": 0.0154, | |
| "mean_token_accuracy": 0.994532835483551, | |
| "num_tokens": 15104622.0, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.11816838995568685, | |
| "grad_norm": 0.0309117641299963, | |
| "learning_rate": 2.1042517594658383e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9950152516365052, | |
| "num_tokens": 15424784.0, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.12063023141309699, | |
| "grad_norm": 0.06306195259094238, | |
| "learning_rate": 2.1021148392379833e-05, | |
| "loss": 0.0203, | |
| "mean_token_accuracy": 0.9932177662849426, | |
| "num_tokens": 15746390.0, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.12309207287050714, | |
| "grad_norm": 0.02742896042764187, | |
| "learning_rate": 2.0999316879847178e-05, | |
| "loss": 0.0163, | |
| "mean_token_accuracy": 0.9943474411964417, | |
| "num_tokens": 16067945.0, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.1255539143279173, | |
| "grad_norm": 0.030147450044751167, | |
| "learning_rate": 2.097702438903896e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.995166015625, | |
| "num_tokens": 16390879.0, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 0.12801575578532742, | |
| "grad_norm": 0.03975250944495201, | |
| "learning_rate": 2.095427228005882e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9950159311294555, | |
| "num_tokens": 16711084.0, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.13047759724273758, | |
| "grad_norm": 0.04383750259876251, | |
| "learning_rate": 2.093106194105249e-05, | |
| "loss": 0.0119, | |
| "mean_token_accuracy": 0.9953450441360474, | |
| "num_tokens": 17033702.0, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 0.1329394387001477, | |
| "grad_norm": 0.03241362050175667, | |
| "learning_rate": 2.090739478812312e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9950896143913269, | |
| "num_tokens": 17356521.0, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.13540128015755784, | |
| "grad_norm": 0.026847772300243378, | |
| "learning_rate": 2.0883272265244868e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9950891971588135, | |
| "num_tokens": 17678363.0, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.137863121614968, | |
| "grad_norm": 0.03550383076071739, | |
| "learning_rate": 2.0858695844174815e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.994836401939392, | |
| "num_tokens": 17999515.0, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.14032496307237813, | |
| "grad_norm": 0.06238512322306633, | |
| "learning_rate": 2.083366702436315e-05, | |
| "loss": 0.0158, | |
| "mean_token_accuracy": 0.9945228219032287, | |
| "num_tokens": 18320866.0, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 0.14278680452978829, | |
| "grad_norm": 0.028855085372924805, | |
| "learning_rate": 2.080818733286169e-05, | |
| "loss": 0.0123, | |
| "mean_token_accuracy": 0.995316994190216, | |
| "num_tokens": 18643634.0, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.14524864598719842, | |
| "grad_norm": 0.02972300350666046, | |
| "learning_rate": 2.078225832423074e-05, | |
| "loss": 0.0161, | |
| "mean_token_accuracy": 0.9942253947257995, | |
| "num_tokens": 18965558.0, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 0.14771048744460857, | |
| "grad_norm": 0.03697444871068001, | |
| "learning_rate": 2.07558815804442e-05, | |
| "loss": 0.0104, | |
| "mean_token_accuracy": 0.9958138465881348, | |
| "num_tokens": 19286951.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.1501723289020187, | |
| "grad_norm": 0.05770840495824814, | |
| "learning_rate": 2.072905871079309e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9949340224266052, | |
| "num_tokens": 19607061.0, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 0.15263417035942886, | |
| "grad_norm": 0.03469410911202431, | |
| "learning_rate": 2.0701791351787333e-05, | |
| "loss": 0.0099, | |
| "mean_token_accuracy": 0.9958946108818054, | |
| "num_tokens": 19929274.0, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.155096011816839, | |
| "grad_norm": 0.05004841461777687, | |
| "learning_rate": 2.0674081167055918e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9950161814689636, | |
| "num_tokens": 20251062.0, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.15755785327424915, | |
| "grad_norm": 0.046333201229572296, | |
| "learning_rate": 2.064592984724541e-05, | |
| "loss": 0.0144, | |
| "mean_token_accuracy": 0.9947794795036315, | |
| "num_tokens": 20572072.0, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.16001969473165928, | |
| "grad_norm": 0.03235311806201935, | |
| "learning_rate": 2.0617339109916796e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9948747038841248, | |
| "num_tokens": 20893294.0, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.16248153618906944, | |
| "grad_norm": 0.038612525910139084, | |
| "learning_rate": 2.058831069944068e-05, | |
| "loss": 0.0152, | |
| "mean_token_accuracy": 0.9946804523468018, | |
| "num_tokens": 21214542.0, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.16494337764647957, | |
| "grad_norm": 0.025016309693455696, | |
| "learning_rate": 2.0558846386890867e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9951780676841736, | |
| "num_tokens": 21536734.0, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 0.1674052191038897, | |
| "grad_norm": 0.031026452779769897, | |
| "learning_rate": 2.0528947969936308e-05, | |
| "loss": 0.012, | |
| "mean_token_accuracy": 0.9952717900276185, | |
| "num_tokens": 21857713.0, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.16986706056129985, | |
| "grad_norm": 0.0282401442527771, | |
| "learning_rate": 2.0498617272731426e-05, | |
| "loss": 0.0138, | |
| "mean_token_accuracy": 0.994832181930542, | |
| "num_tokens": 22178369.0, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 0.17232890201870998, | |
| "grad_norm": 0.03516492620110512, | |
| "learning_rate": 2.0467856145804803e-05, | |
| "loss": 0.0126, | |
| "mean_token_accuracy": 0.9951131939888, | |
| "num_tokens": 22499186.0, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.17479074347612014, | |
| "grad_norm": 0.023863811045885086, | |
| "learning_rate": 2.0436666465946293e-05, | |
| "loss": 0.012, | |
| "mean_token_accuracy": 0.9952613711357117, | |
| "num_tokens": 22818871.0, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 0.17725258493353027, | |
| "grad_norm": 0.02898053079843521, | |
| "learning_rate": 2.0405050136092498e-05, | |
| "loss": 0.0107, | |
| "mean_token_accuracy": 0.9957016706466675, | |
| "num_tokens": 23141414.0, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.17971442639094043, | |
| "grad_norm": 0.037398334592580795, | |
| "learning_rate": 2.03730090852107e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9948941230773926, | |
| "num_tokens": 23461577.0, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 0.18217626784835056, | |
| "grad_norm": 0.04012646526098251, | |
| "learning_rate": 2.034054526818113e-05, | |
| "loss": 0.0115, | |
| "mean_token_accuracy": 0.9955559730529785, | |
| "num_tokens": 23783259.0, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.18463810930576072, | |
| "grad_norm": 0.04099590331315994, | |
| "learning_rate": 2.0307660665677727e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9946975588798523, | |
| "num_tokens": 24103122.0, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.18709995076317085, | |
| "grad_norm": 0.031648050993680954, | |
| "learning_rate": 2.027435728404728e-05, | |
| "loss": 0.0106, | |
| "mean_token_accuracy": 0.9956473708152771, | |
| "num_tokens": 24425740.0, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.189561792220581, | |
| "grad_norm": 0.04404672607779503, | |
| "learning_rate": 2.0240637155187022e-05, | |
| "loss": 0.0127, | |
| "mean_token_accuracy": 0.9950958609580993, | |
| "num_tokens": 24746163.0, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 0.19202363367799113, | |
| "grad_norm": 0.029460404068231583, | |
| "learning_rate": 2.0206502336420666e-05, | |
| "loss": 0.0129, | |
| "mean_token_accuracy": 0.9949822425842285, | |
| "num_tokens": 25066336.0, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.1944854751354013, | |
| "grad_norm": 0.04973338544368744, | |
| "learning_rate": 2.0171954910372855e-05, | |
| "loss": 0.0125, | |
| "mean_token_accuracy": 0.9952076077461243, | |
| "num_tokens": 25387202.0, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 0.19694731659281142, | |
| "grad_norm": 0.04149773344397545, | |
| "learning_rate": 2.0136996984842144e-05, | |
| "loss": 0.0109, | |
| "mean_token_accuracy": 0.9957006335258484, | |
| "num_tokens": 25708881.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.19940915805022155, | |
| "grad_norm": 0.03306461498141289, | |
| "learning_rate": 2.0101630692672366e-05, | |
| "loss": 0.0111, | |
| "mean_token_accuracy": 0.9955379962921143, | |
| "num_tokens": 26030050.0, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 0.2018709995076317, | |
| "grad_norm": 0.030293015763163567, | |
| "learning_rate": 2.006585819162251e-05, | |
| "loss": 0.0119, | |
| "mean_token_accuracy": 0.9954728364944458, | |
| "num_tokens": 26351231.0, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.20433284096504184, | |
| "grad_norm": 0.026037540286779404, | |
| "learning_rate": 2.002968166423509e-05, | |
| "loss": 0.0112, | |
| "mean_token_accuracy": 0.9954585909843445, | |
| "num_tokens": 26674114.0, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 0.206794682422452, | |
| "grad_norm": 0.0441579669713974, | |
| "learning_rate": 1.999310331770294e-05, | |
| "loss": 0.0121, | |
| "mean_token_accuracy": 0.9953820586204529, | |
| "num_tokens": 26994230.0, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.20925652387986213, | |
| "grad_norm": 0.02964727394282818, | |
| "learning_rate": 1.9956125383734614e-05, | |
| "loss": 0.0114, | |
| "mean_token_accuracy": 0.9954700708389282, | |
| "num_tokens": 27316428.0, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 0.21171836533727229, | |
| "grad_norm": 0.06177075207233429, | |
| "learning_rate": 1.9918750118418164e-05, | |
| "loss": 0.0147, | |
| "mean_token_accuracy": 0.9946566939353942, | |
| "num_tokens": 27637380.0, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.21418020679468242, | |
| "grad_norm": 0.027682114392518997, | |
| "learning_rate": 1.988097980208353e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9948596119880676, | |
| "num_tokens": 27960067.0, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 0.21664204825209257, | |
| "grad_norm": 0.07328087091445923, | |
| "learning_rate": 1.98428167391634e-05, | |
| "loss": 0.0118, | |
| "mean_token_accuracy": 0.9954464673995972, | |
| "num_tokens": 28282274.0, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.2191038897095027, | |
| "grad_norm": 0.03303288668394089, | |
| "learning_rate": 1.980426325805261e-05, | |
| "loss": 0.012, | |
| "mean_token_accuracy": 0.9953627109527587, | |
| "num_tokens": 28602426.0, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 0.22156573116691286, | |
| "grad_norm": 0.027796752750873566, | |
| "learning_rate": 1.97653217109661e-05, | |
| "loss": 0.0105, | |
| "mean_token_accuracy": 0.9958163142204285, | |
| "num_tokens": 28921894.0, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.224027572624323, | |
| "grad_norm": 0.04791528731584549, | |
| "learning_rate": 1.9725994473795378e-05, | |
| "loss": 0.0139, | |
| "mean_token_accuracy": 0.9947140574455261, | |
| "num_tokens": 29242623.0, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 0.22648941408173315, | |
| "grad_norm": 0.029893744736909866, | |
| "learning_rate": 1.968628394596358e-05, | |
| "loss": 0.0115, | |
| "mean_token_accuracy": 0.9955099821090698, | |
| "num_tokens": 29564770.0, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.22895125553914328, | |
| "grad_norm": 0.027840137481689453, | |
| "learning_rate": 1.9646192550279074e-05, | |
| "loss": 0.0122, | |
| "mean_token_accuracy": 0.9954214334487915, | |
| "num_tokens": 29886114.0, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 0.23141309699655344, | |
| "grad_norm": 0.06552904844284058, | |
| "learning_rate": 1.9605722732787628e-05, | |
| "loss": 0.0098, | |
| "mean_token_accuracy": 0.9960446953773499, | |
| "num_tokens": 30207167.0, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.23387493845396357, | |
| "grad_norm": 0.03414066135883331, | |
| "learning_rate": 1.9564876962623197e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9948711514472961, | |
| "num_tokens": 30528611.0, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 0.2363367799113737, | |
| "grad_norm": 0.029639434069395065, | |
| "learning_rate": 1.952365773185726e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9950312376022339, | |
| "num_tokens": 30850250.0, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.23879862136878385, | |
| "grad_norm": 0.03463074937462807, | |
| "learning_rate": 1.9482067555346758e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9950294494628906, | |
| "num_tokens": 31172438.0, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 0.24126046282619398, | |
| "grad_norm": 0.0427277535200119, | |
| "learning_rate": 1.94401089705807e-05, | |
| "loss": 0.0144, | |
| "mean_token_accuracy": 0.9947101235389709, | |
| "num_tokens": 31492658.0, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.24372230428360414, | |
| "grad_norm": 0.026402706280350685, | |
| "learning_rate": 1.9397784537525315e-05, | |
| "loss": 0.0115, | |
| "mean_token_accuracy": 0.9953791737556458, | |
| "num_tokens": 31814691.0, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 0.24618414574101427, | |
| "grad_norm": 0.03977755084633827, | |
| "learning_rate": 1.935509683846787e-05, | |
| "loss": 0.0116, | |
| "mean_token_accuracy": 0.9955008625984192, | |
| "num_tokens": 32136086.0, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.24864598719842443, | |
| "grad_norm": 0.03381454944610596, | |
| "learning_rate": 1.9312048477859128e-05, | |
| "loss": 0.012, | |
| "mean_token_accuracy": 0.9952152490615844, | |
| "num_tokens": 32457275.0, | |
| "step": 505 | |
| }, | |
| { | |
| "epoch": 0.2511078286558346, | |
| "grad_norm": 0.04309482499957085, | |
| "learning_rate": 1.9268642082154432e-05, | |
| "loss": 0.0145, | |
| "mean_token_accuracy": 0.9947703242301941, | |
| "num_tokens": 32778499.0, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.2535696701132447, | |
| "grad_norm": 0.026039602234959602, | |
| "learning_rate": 1.9224880299653475e-05, | |
| "loss": 0.0106, | |
| "mean_token_accuracy": 0.9957552552223206, | |
| "num_tokens": 33100172.0, | |
| "step": 515 | |
| }, | |
| { | |
| "epoch": 0.25603151157065485, | |
| "grad_norm": 0.03149384632706642, | |
| "learning_rate": 1.918076580033872e-05, | |
| "loss": 0.0111, | |
| "mean_token_accuracy": 0.9956293344497681, | |
| "num_tokens": 33420699.0, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.258493353028065, | |
| "grad_norm": 0.042891692370176315, | |
| "learning_rate": 1.9136301275712485e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.9950595378875733, | |
| "num_tokens": 33742306.0, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 0.26095519448547516, | |
| "grad_norm": 0.031138205900788307, | |
| "learning_rate": 1.9091489438632754e-05, | |
| "loss": 0.0124, | |
| "mean_token_accuracy": 0.9950516223907471, | |
| "num_tokens": 34064125.0, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.2634170359428853, | |
| "grad_norm": 0.03716178983449936, | |
| "learning_rate": 1.9046333023147636e-05, | |
| "loss": 0.0116, | |
| "mean_token_accuracy": 0.9954241394996644, | |
| "num_tokens": 34385864.0, | |
| "step": 535 | |
| }, | |
| { | |
| "epoch": 0.2658788774002954, | |
| "grad_norm": 0.031479284167289734, | |
| "learning_rate": 1.9000834784328574e-05, | |
| "loss": 0.0127, | |
| "mean_token_accuracy": 0.9949283838272095, | |
| "num_tokens": 34706971.0, | |
| "step": 540 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 2031, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.539652714412114e+18, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |