Instructions to use Gege24/test_goof_intercode_synth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Gege24/test_goof_intercode_synth with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Jordansky/augmented-f560e4e6ee71e78d") model = PeftModel.from_pretrained(base_model, "Gege24/test_goof_intercode_synth") - Transformers
How to use Gege24/test_goof_intercode_synth with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="Gege24/test_goof_intercode_synth") messages = [ {"role": "user", "content": "Who are you?"}, ] pipe(messages)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Gege24/test_goof_intercode_synth", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use Gege24/test_goof_intercode_synth with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Gege24/test_goof_intercode_synth" # 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/test_goof_intercode_synth", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/Gege24/test_goof_intercode_synth
- SGLang
How to use Gege24/test_goof_intercode_synth 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/test_goof_intercode_synth" \ --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/test_goof_intercode_synth", "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/test_goof_intercode_synth" \ --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/test_goof_intercode_synth", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use Gege24/test_goof_intercode_synth with Docker Model Runner:
docker model run hf.co/Gege24/test_goof_intercode_synth
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.32786885245901637, | |
| "eval_steps": 500, | |
| "global_step": 500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.003278688524590164, | |
| "grad_norm": 11.864808082580566, | |
| "learning_rate": 1.8550649350649352e-06, | |
| "loss": 1.8825, | |
| "mean_token_accuracy": 0.6717052340507508, | |
| "num_tokens": 408217.0, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.006557377049180328, | |
| "grad_norm": 5.262256622314453, | |
| "learning_rate": 4.173896103896104e-06, | |
| "loss": 1.7165, | |
| "mean_token_accuracy": 0.6818771481513977, | |
| "num_tokens": 816357.0, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.009836065573770493, | |
| "grad_norm": 2.965733289718628, | |
| "learning_rate": 6.492727272727273e-06, | |
| "loss": 1.3829, | |
| "mean_token_accuracy": 0.70808926820755, | |
| "num_tokens": 1224772.0, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.013114754098360656, | |
| "grad_norm": 2.455183982849121, | |
| "learning_rate": 8.811558441558442e-06, | |
| "loss": 1.0236, | |
| "mean_token_accuracy": 0.7685024738311768, | |
| "num_tokens": 1633483.0, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.01639344262295082, | |
| "grad_norm": 10.492952346801758, | |
| "learning_rate": 1.113038961038961e-05, | |
| "loss": 0.6499, | |
| "mean_token_accuracy": 0.8449655532836914, | |
| "num_tokens": 2042159.0, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.019672131147540985, | |
| "grad_norm": 2.165491819381714, | |
| "learning_rate": 1.344922077922078e-05, | |
| "loss": 0.289, | |
| "mean_token_accuracy": 0.9292097449302673, | |
| "num_tokens": 2450648.0, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.022950819672131147, | |
| "grad_norm": 0.3516330122947693, | |
| "learning_rate": 1.5768051948051948e-05, | |
| "loss": 0.0746, | |
| "mean_token_accuracy": 0.9830971240997315, | |
| "num_tokens": 2859130.0, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.02622950819672131, | |
| "grad_norm": 0.2468341439962387, | |
| "learning_rate": 1.8086883116883115e-05, | |
| "loss": 0.0381, | |
| "mean_token_accuracy": 0.9902603626251221, | |
| "num_tokens": 3268040.0, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.029508196721311476, | |
| "grad_norm": 0.23932884633541107, | |
| "learning_rate": 2.0405714285714284e-05, | |
| "loss": 0.046, | |
| "mean_token_accuracy": 0.9884509086608887, | |
| "num_tokens": 3676141.0, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.03278688524590164, | |
| "grad_norm": 0.1291441023349762, | |
| "learning_rate": 2.2724545454545454e-05, | |
| "loss": 0.029, | |
| "mean_token_accuracy": 0.9916678190231323, | |
| "num_tokens": 4084717.0, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.036065573770491806, | |
| "grad_norm": 0.11761873215436935, | |
| "learning_rate": 2.5043376623376624e-05, | |
| "loss": 0.0248, | |
| "mean_token_accuracy": 0.9925343513488769, | |
| "num_tokens": 4492938.0, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.03934426229508197, | |
| "grad_norm": 0.057177335023880005, | |
| "learning_rate": 2.7362207792207794e-05, | |
| "loss": 0.0178, | |
| "mean_token_accuracy": 0.9940186262130737, | |
| "num_tokens": 4901795.0, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.04262295081967213, | |
| "grad_norm": 0.09501975029706955, | |
| "learning_rate": 2.9681038961038964e-05, | |
| "loss": 0.0159, | |
| "mean_token_accuracy": 0.9943653583526612, | |
| "num_tokens": 5310849.0, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.04590163934426229, | |
| "grad_norm": 0.09123346954584122, | |
| "learning_rate": 3.199987012987013e-05, | |
| "loss": 0.0166, | |
| "mean_token_accuracy": 0.9942219018936157, | |
| "num_tokens": 5719518.0, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.04918032786885246, | |
| "grad_norm": 0.08542507886886597, | |
| "learning_rate": 3.43187012987013e-05, | |
| "loss": 0.0157, | |
| "mean_token_accuracy": 0.9944955110549927, | |
| "num_tokens": 6127881.0, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.05245901639344262, | |
| "grad_norm": 0.04323630407452583, | |
| "learning_rate": 3.570987392962234e-05, | |
| "loss": 0.0147, | |
| "mean_token_accuracy": 0.9947323679924012, | |
| "num_tokens": 6536261.0, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.05573770491803279, | |
| "grad_norm": 0.08876936882734299, | |
| "learning_rate": 3.570845566513458e-05, | |
| "loss": 0.0144, | |
| "mean_token_accuracy": 0.9947437524795533, | |
| "num_tokens": 6945150.0, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.05901639344262295, | |
| "grad_norm": 0.05356862023472786, | |
| "learning_rate": 3.5705461715643066e-05, | |
| "loss": 0.0144, | |
| "mean_token_accuracy": 0.9947035908699036, | |
| "num_tokens": 7353980.0, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.06229508196721312, | |
| "grad_norm": 0.0856458991765976, | |
| "learning_rate": 3.5700892433472276e-05, | |
| "loss": 0.0153, | |
| "mean_token_accuracy": 0.9945327043533325, | |
| "num_tokens": 7762104.0, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.06557377049180328, | |
| "grad_norm": 0.038863301277160645, | |
| "learning_rate": 3.569474835633004e-05, | |
| "loss": 0.0144, | |
| "mean_token_accuracy": 0.994780158996582, | |
| "num_tokens": 8170451.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.06885245901639345, | |
| "grad_norm": 0.04703042283654213, | |
| "learning_rate": 3.56870302072442e-05, | |
| "loss": 0.0145, | |
| "mean_token_accuracy": 0.9946265578269958, | |
| "num_tokens": 8579349.0, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.07213114754098361, | |
| "grad_norm": 0.036843106150627136, | |
| "learning_rate": 3.5677738894477597e-05, | |
| "loss": 0.015, | |
| "mean_token_accuracy": 0.9946633577346802, | |
| "num_tokens": 8987188.0, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.07540983606557378, | |
| "grad_norm": 0.032964933663606644, | |
| "learning_rate": 3.56668755114211e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9949539065361023, | |
| "num_tokens": 9396028.0, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.07868852459016394, | |
| "grad_norm": 0.02178327925503254, | |
| "learning_rate": 3.565444133646502e-05, | |
| "loss": 0.0138, | |
| "mean_token_accuracy": 0.994755208492279, | |
| "num_tokens": 9804877.0, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.08196721311475409, | |
| "grad_norm": 0.0296860970556736, | |
| "learning_rate": 3.56404378328486e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.9949416399002076, | |
| "num_tokens": 10213751.0, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.08524590163934426, | |
| "grad_norm": 0.0411427803337574, | |
| "learning_rate": 3.562486664848789e-05, | |
| "loss": 0.0141, | |
| "mean_token_accuracy": 0.9947504162788391, | |
| "num_tokens": 10622374.0, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.08852459016393442, | |
| "grad_norm": 0.03543432801961899, | |
| "learning_rate": 3.560772961578175e-05, | |
| "loss": 0.0138, | |
| "mean_token_accuracy": 0.9947629570960999, | |
| "num_tokens": 11031043.0, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.09180327868852459, | |
| "grad_norm": 0.059530045837163925, | |
| "learning_rate": 3.5589028751396305e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9950087666511536, | |
| "num_tokens": 11439772.0, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.09508196721311475, | |
| "grad_norm": 0.07755406200885773, | |
| "learning_rate": 3.556876625602752e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9948176383972168, | |
| "num_tokens": 11848505.0, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.09836065573770492, | |
| "grad_norm": 0.04126143455505371, | |
| "learning_rate": 3.5546944514142315e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9948662519454956, | |
| "num_tokens": 12257305.0, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.10163934426229508, | |
| "grad_norm": 0.03997291252017021, | |
| "learning_rate": 3.5523566093697924e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9949190497398377, | |
| "num_tokens": 12666302.0, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.10491803278688525, | |
| "grad_norm": 0.040034219622612, | |
| "learning_rate": 3.5498633745839686e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9949692964553833, | |
| "num_tokens": 13075215.0, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.10819672131147541, | |
| "grad_norm": 0.03907650709152222, | |
| "learning_rate": 3.547215040457733e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9948561072349549, | |
| "num_tokens": 13484075.0, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.11147540983606558, | |
| "grad_norm": 0.04138929769396782, | |
| "learning_rate": 3.544411918643969e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.9949599266052246, | |
| "num_tokens": 13892435.0, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.11475409836065574, | |
| "grad_norm": 0.05110432580113411, | |
| "learning_rate": 3.541454339010794e-05, | |
| "loss": 0.014, | |
| "mean_token_accuracy": 0.9946610331535339, | |
| "num_tokens": 14301183.0, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.1180327868852459, | |
| "grad_norm": 0.031282778829336166, | |
| "learning_rate": 3.5383426496027415e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.9948694586753846, | |
| "num_tokens": 14709806.0, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.12131147540983607, | |
| "grad_norm": 0.02924703061580658, | |
| "learning_rate": 3.5350772165998065e-05, | |
| "loss": 0.0139, | |
| "mean_token_accuracy": 0.9947750806808472, | |
| "num_tokens": 15118488.0, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.12459016393442623, | |
| "grad_norm": 0.03491539880633354, | |
| "learning_rate": 3.5316584242743505e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9948323130607605, | |
| "num_tokens": 15526810.0, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.12786885245901639, | |
| "grad_norm": 0.05004236847162247, | |
| "learning_rate": 3.52808667494588e-05, | |
| "loss": 0.014, | |
| "mean_token_accuracy": 0.9948232173919678, | |
| "num_tokens": 15934808.0, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.13114754098360656, | |
| "grad_norm": 0.059048738330602646, | |
| "learning_rate": 3.524362388933707e-05, | |
| "loss": 0.0139, | |
| "mean_token_accuracy": 0.9948498249053955, | |
| "num_tokens": 16342813.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.13442622950819672, | |
| "grad_norm": 0.04443388804793358, | |
| "learning_rate": 3.520486004507482e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9949076414108277, | |
| "num_tokens": 16751499.0, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.1377049180327869, | |
| "grad_norm": 0.034815456718206406, | |
| "learning_rate": 3.516457977835619e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9949151515960694, | |
| "num_tokens": 17159608.0, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.14098360655737704, | |
| "grad_norm": 0.051543693989515305, | |
| "learning_rate": 3.512278782931617e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9949401617050171, | |
| "num_tokens": 17568139.0, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.14426229508196722, | |
| "grad_norm": 0.05390683189034462, | |
| "learning_rate": 3.507948911598274e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.9949264645576477, | |
| "num_tokens": 17977007.0, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.14754098360655737, | |
| "grad_norm": 0.06902962177991867, | |
| "learning_rate": 3.50346887336982e-05, | |
| "loss": 0.014, | |
| "mean_token_accuracy": 0.9947143077850342, | |
| "num_tokens": 18385375.0, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.15081967213114755, | |
| "grad_norm": 0.02893741987645626, | |
| "learning_rate": 3.498839195451947e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.994857931137085, | |
| "num_tokens": 18793771.0, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.1540983606557377, | |
| "grad_norm": 0.02865167334675789, | |
| "learning_rate": 3.494060422659772e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9949785351753235, | |
| "num_tokens": 19202621.0, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.15737704918032788, | |
| "grad_norm": 0.04375935345888138, | |
| "learning_rate": 3.489133117353724e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9947228193283081, | |
| "num_tokens": 19611057.0, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.16065573770491803, | |
| "grad_norm": 0.02420743554830551, | |
| "learning_rate": 3.4840578593733666e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9950337886810303, | |
| "num_tokens": 20019638.0, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.16393442622950818, | |
| "grad_norm": 0.05214788392186165, | |
| "learning_rate": 3.4788352459691614e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9949548959732055, | |
| "num_tokens": 20428003.0, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.16721311475409836, | |
| "grad_norm": 0.04234194755554199, | |
| "learning_rate": 3.473465891732185e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.9947700738906861, | |
| "num_tokens": 20837020.0, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 0.17049180327868851, | |
| "grad_norm": 0.034778088331222534, | |
| "learning_rate": 3.4679504285218047e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9947812557220459, | |
| "num_tokens": 21245246.0, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.1737704918032787, | |
| "grad_norm": 0.03974767401814461, | |
| "learning_rate": 3.4622895053913217e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.9948418736457825, | |
| "num_tokens": 21653778.0, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 0.17704918032786884, | |
| "grad_norm": 0.052754733711481094, | |
| "learning_rate": 3.456483788511593e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9948596477508544, | |
| "num_tokens": 22062154.0, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.18032786885245902, | |
| "grad_norm": 0.047448959201574326, | |
| "learning_rate": 3.450533961092634e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9950472474098205, | |
| "num_tokens": 22470813.0, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.18360655737704917, | |
| "grad_norm": 0.09723605960607529, | |
| "learning_rate": 3.444440723303221e-05, | |
| "loss": 0.0135, | |
| "mean_token_accuracy": 0.994795274734497, | |
| "num_tokens": 22879476.0, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.18688524590163935, | |
| "grad_norm": 0.08869442343711853, | |
| "learning_rate": 3.4382047921884984e-05, | |
| "loss": 0.0137, | |
| "mean_token_accuracy": 0.994783091545105, | |
| "num_tokens": 23287593.0, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 0.1901639344262295, | |
| "grad_norm": 0.06632116436958313, | |
| "learning_rate": 3.431826901585592e-05, | |
| "loss": 0.0138, | |
| "mean_token_accuracy": 0.9947378635406494, | |
| "num_tokens": 23695847.0, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.19344262295081968, | |
| "grad_norm": 0.03997300565242767, | |
| "learning_rate": 3.4253078020372585e-05, | |
| "loss": 0.0127, | |
| "mean_token_accuracy": 0.9951478004455566, | |
| "num_tokens": 24104934.0, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 0.19672131147540983, | |
| "grad_norm": 0.03351575508713722, | |
| "learning_rate": 3.418648260703555e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9948622226715088, | |
| "num_tokens": 24513848.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 0.04181559756398201, | |
| "learning_rate": 3.41184906127157e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9950374960899353, | |
| "num_tokens": 24921760.0, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 0.20327868852459016, | |
| "grad_norm": 0.044396817684173584, | |
| "learning_rate": 3.40491100386319e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9949706077575684, | |
| "num_tokens": 25329955.0, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.20655737704918034, | |
| "grad_norm": 0.02727290242910385, | |
| "learning_rate": 3.39783490494095e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9948286771774292, | |
| "num_tokens": 25738012.0, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.2098360655737705, | |
| "grad_norm": 0.04054737091064453, | |
| "learning_rate": 3.390621597211947e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9948787569999695, | |
| "num_tokens": 26146499.0, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.21311475409836064, | |
| "grad_norm": 0.03496871143579483, | |
| "learning_rate": 3.3832719295298546e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.9949335575103759, | |
| "num_tokens": 26554662.0, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.21639344262295082, | |
| "grad_norm": 0.07436609268188477, | |
| "learning_rate": 3.375786766795025e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9949586033821106, | |
| "num_tokens": 26963118.0, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.21967213114754097, | |
| "grad_norm": 0.03663641959428787, | |
| "learning_rate": 3.368166989852709e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9948944687843323, | |
| "num_tokens": 27371149.0, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 0.22295081967213115, | |
| "grad_norm": 0.03990248590707779, | |
| "learning_rate": 3.3604134953894047e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9949881911277771, | |
| "num_tokens": 27779612.0, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.2262295081967213, | |
| "grad_norm": 0.05796727165579796, | |
| "learning_rate": 3.352527195827331e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9949235558509827, | |
| "num_tokens": 28188222.0, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 0.22950819672131148, | |
| "grad_norm": 0.05331377312541008, | |
| "learning_rate": 3.344509019217057e-05, | |
| "loss": 0.0132, | |
| "mean_token_accuracy": 0.994888699054718, | |
| "num_tokens": 28596553.0, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.23278688524590163, | |
| "grad_norm": 0.04629578813910484, | |
| "learning_rate": 3.336359909128287e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9949244379997253, | |
| "num_tokens": 29004751.0, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 0.2360655737704918, | |
| "grad_norm": 0.034980956465005875, | |
| "learning_rate": 3.328080824538829e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9950591683387756, | |
| "num_tokens": 29413216.0, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.23934426229508196, | |
| "grad_norm": 0.049879077821969986, | |
| "learning_rate": 3.3196727397217355e-05, | |
| "loss": 0.0141, | |
| "mean_token_accuracy": 0.9946274876594543, | |
| "num_tokens": 29820939.0, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 0.24262295081967214, | |
| "grad_norm": 0.03049667924642563, | |
| "learning_rate": 3.311136644130658e-05, | |
| "loss": 0.0129, | |
| "mean_token_accuracy": 0.9949459671974182, | |
| "num_tokens": 30229737.0, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.2459016393442623, | |
| "grad_norm": 0.03131835535168648, | |
| "learning_rate": 3.3024735422834075e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.995038378238678, | |
| "num_tokens": 30638060.0, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.24918032786885247, | |
| "grad_norm": 0.10647476464509964, | |
| "learning_rate": 3.2936844536437424e-05, | |
| "loss": 0.0128, | |
| "mean_token_accuracy": 0.9952004551887512, | |
| "num_tokens": 31046393.0, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.25245901639344265, | |
| "grad_norm": 0.03366782143712044, | |
| "learning_rate": 3.2847704125014004e-05, | |
| "loss": 0.0129, | |
| "mean_token_accuracy": 0.9949777960777283, | |
| "num_tokens": 31455002.0, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 0.25573770491803277, | |
| "grad_norm": 0.04673784226179123, | |
| "learning_rate": 3.2757324678503855e-05, | |
| "loss": 0.0136, | |
| "mean_token_accuracy": 0.9947427630424499, | |
| "num_tokens": 31863601.0, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.25901639344262295, | |
| "grad_norm": 0.05322699621319771, | |
| "learning_rate": 3.266571683265521e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.994936466217041, | |
| "num_tokens": 32272638.0, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 0.26229508196721313, | |
| "grad_norm": 0.09595732390880585, | |
| "learning_rate": 3.257289136777294e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9950599074363708, | |
| "num_tokens": 32681386.0, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.26557377049180325, | |
| "grad_norm": 0.04479283094406128, | |
| "learning_rate": 3.2478859207449874e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.994804859161377, | |
| "num_tokens": 33089486.0, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 0.26885245901639343, | |
| "grad_norm": 0.030818136408925056, | |
| "learning_rate": 3.2383631417281374e-05, | |
| "loss": 0.0126, | |
| "mean_token_accuracy": 0.995081651210785, | |
| "num_tokens": 33498149.0, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.2721311475409836, | |
| "grad_norm": 0.041336897760629654, | |
| "learning_rate": 3.228721920356313e-05, | |
| "loss": 0.0128, | |
| "mean_token_accuracy": 0.9950200915336609, | |
| "num_tokens": 33906426.0, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 0.2754098360655738, | |
| "grad_norm": 0.02350839041173458, | |
| "learning_rate": 3.218963391197243e-05, | |
| "loss": 0.0134, | |
| "mean_token_accuracy": 0.9947636127471924, | |
| "num_tokens": 34314986.0, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.2786885245901639, | |
| "grad_norm": 0.02138645388185978, | |
| "learning_rate": 3.209088702623298e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9948771834373474, | |
| "num_tokens": 34723179.0, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 0.2819672131147541, | |
| "grad_norm": 0.041177183389663696, | |
| "learning_rate": 3.1990990166763574e-05, | |
| "loss": 0.0127, | |
| "mean_token_accuracy": 0.9951212167739868, | |
| "num_tokens": 35132085.0, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.28524590163934427, | |
| "grad_norm": 0.04491574689745903, | |
| "learning_rate": 3.188995508931052e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9948252081871033, | |
| "num_tokens": 35540424.0, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 0.28852459016393445, | |
| "grad_norm": 0.03420275077223778, | |
| "learning_rate": 3.178779368356435e-05, | |
| "loss": 0.0125, | |
| "mean_token_accuracy": 0.9952936053276062, | |
| "num_tokens": 35948584.0, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.29180327868852457, | |
| "grad_norm": 0.02960294671356678, | |
| "learning_rate": 3.1684517971760586e-05, | |
| "loss": 0.0129, | |
| "mean_token_accuracy": 0.9950698137283325, | |
| "num_tokens": 36356683.0, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 0.29508196721311475, | |
| "grad_norm": 0.03503751382231712, | |
| "learning_rate": 3.158014010726497e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9947447061538697, | |
| "num_tokens": 36765639.0, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.2983606557377049, | |
| "grad_norm": 0.12213002890348434, | |
| "learning_rate": 3.1474672373143325e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9949376940727234, | |
| "num_tokens": 37174367.0, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 0.3016393442622951, | |
| "grad_norm": 0.026703471317887306, | |
| "learning_rate": 3.136812718071603e-05, | |
| "loss": 0.0129, | |
| "mean_token_accuracy": 0.995039415359497, | |
| "num_tokens": 37582693.0, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.30491803278688523, | |
| "grad_norm": 0.04152139276266098, | |
| "learning_rate": 3.126051706809753e-05, | |
| "loss": 0.0128, | |
| "mean_token_accuracy": 0.9950154423713684, | |
| "num_tokens": 37991765.0, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 0.3081967213114754, | |
| "grad_norm": 0.03578517958521843, | |
| "learning_rate": 3.115185469872084e-05, | |
| "loss": 0.0138, | |
| "mean_token_accuracy": 0.9947016477584839, | |
| "num_tokens": 38400227.0, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.3114754098360656, | |
| "grad_norm": 0.02464434690773487, | |
| "learning_rate": 3.1042152859847324e-05, | |
| "loss": 0.0133, | |
| "mean_token_accuracy": 0.9948673963546752, | |
| "num_tokens": 38807929.0, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 0.31475409836065577, | |
| "grad_norm": 0.03423834592103958, | |
| "learning_rate": 3.093142446106189e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9949305653572083, | |
| "num_tokens": 39216673.0, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.3180327868852459, | |
| "grad_norm": 0.03287561610341072, | |
| "learning_rate": 3.0819682532753864e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9948360681533813, | |
| "num_tokens": 39625104.0, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 0.32131147540983607, | |
| "grad_norm": 0.031057024374604225, | |
| "learning_rate": 3.070694022458351e-05, | |
| "loss": 0.0131, | |
| "mean_token_accuracy": 0.9948514938354492, | |
| "num_tokens": 40033992.0, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.32459016393442625, | |
| "grad_norm": 0.03567773476243019, | |
| "learning_rate": 3.059321080393464e-05, | |
| "loss": 0.013, | |
| "mean_token_accuracy": 0.9949483275413513, | |
| "num_tokens": 40442234.0, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 0.32786885245901637, | |
| "grad_norm": 0.03349795937538147, | |
| "learning_rate": 3.0478507654353334e-05, | |
| "loss": 0.0129, | |
| "mean_token_accuracy": 0.9948728799819946, | |
| "num_tokens": 40850853.0, | |
| "step": 500 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 1525, | |
| "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": 9.553592302509752e+17, | |
| "train_batch_size": 20, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |