Text Generation
PEFT
Safetensors
Transformers
gemma4
image-text-to-text
lora
translation
opus
gemma
sft
conversational
Instructions to use morningstarxcdcode/adaption-opus-100-translation-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use morningstarxcdcode/adaption-opus-100-translation-model with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-31B-it") model = PeftModel.from_pretrained(base_model, "morningstarxcdcode/adaption-opus-100-translation-model") - Transformers
How to use morningstarxcdcode/adaption-opus-100-translation-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-generation", model="morningstarxcdcode/adaption-opus-100-translation-model") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("morningstarxcdcode/adaption-opus-100-translation-model") model = AutoModelForMultimodalLM.from_pretrained("morningstarxcdcode/adaption-opus-100-translation-model", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.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(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use morningstarxcdcode/adaption-opus-100-translation-model with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "morningstarxcdcode/adaption-opus-100-translation-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": "morningstarxcdcode/adaption-opus-100-translation-model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/morningstarxcdcode/adaption-opus-100-translation-model
- SGLang
How to use morningstarxcdcode/adaption-opus-100-translation-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 "morningstarxcdcode/adaption-opus-100-translation-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": "morningstarxcdcode/adaption-opus-100-translation-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 "morningstarxcdcode/adaption-opus-100-translation-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": "morningstarxcdcode/adaption-opus-100-translation-model", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }' - Docker Model Runner
How to use morningstarxcdcode/adaption-opus-100-translation-model with Docker Model Runner:
docker model run hf.co/morningstarxcdcode/adaption-opus-100-translation-model
| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "eval_steps": 16, | |
| "global_step": 81, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.037037037037037035, | |
| "grad_norm": 3.603320360183716, | |
| "learning_rate": 0.0, | |
| "loss": 3.13580322265625, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.07407407407407407, | |
| "grad_norm": 7.633277416229248, | |
| "learning_rate": 1.1111111111111112e-05, | |
| "loss": 3.724609375, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.1111111111111111, | |
| "grad_norm": 3.1807398796081543, | |
| "learning_rate": 2.2222222222222223e-05, | |
| "loss": 3.18798828125, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.14814814814814814, | |
| "grad_norm": 26.3658390045166, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 2.86737060546875, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.18518518518518517, | |
| "grad_norm": 3.1732168197631836, | |
| "learning_rate": 4.4444444444444447e-05, | |
| "loss": 3.5654296875, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.2222222222222222, | |
| "grad_norm": 7.057729721069336, | |
| "learning_rate": 5.555555555555556e-05, | |
| "loss": 3.50390625, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.25925925925925924, | |
| "grad_norm": 29.021793365478516, | |
| "learning_rate": 6.666666666666667e-05, | |
| "loss": 3.162109375, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.2962962962962963, | |
| "grad_norm": 7.539449691772461, | |
| "learning_rate": 7.777777777777778e-05, | |
| "loss": 2.75537109375, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 1.3787728548049927, | |
| "learning_rate": 8.888888888888889e-05, | |
| "loss": 2.073245048522949, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.37037037037037035, | |
| "grad_norm": 2.590653419494629, | |
| "learning_rate": 0.0001, | |
| "loss": 1.955169677734375, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.4074074074074074, | |
| "grad_norm": 5.739391803741455, | |
| "learning_rate": 9.99571699711836e-05, | |
| "loss": 2.02783203125, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "grad_norm": 2.040536403656006, | |
| "learning_rate": 9.982876141412856e-05, | |
| "loss": 1.96630859375, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.48148148148148145, | |
| "grad_norm": 1.7213687896728516, | |
| "learning_rate": 9.961501876182148e-05, | |
| "loss": 2.35302734375, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.5185185185185185, | |
| "grad_norm": 1.929543137550354, | |
| "learning_rate": 9.931634888554937e-05, | |
| "loss": 1.7919921875, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.5555555555555556, | |
| "grad_norm": 1.9385697841644287, | |
| "learning_rate": 9.893332032039701e-05, | |
| "loss": 1.3902435302734375, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.5925925925925926, | |
| "grad_norm": 0.7352836728096008, | |
| "learning_rate": 9.846666218300807e-05, | |
| "loss": 1.740234375, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.6296296296296297, | |
| "grad_norm": 2.1352813243865967, | |
| "learning_rate": 9.791726278367022e-05, | |
| "loss": 1.576171875, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.6296296296296297, | |
| "eval_loss": 1.34814453125, | |
| "eval_runtime": 9.3439, | |
| "eval_samples_per_second": 0.535, | |
| "eval_steps_per_second": 0.107, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 3.195157051086426, | |
| "learning_rate": 9.728616793536588e-05, | |
| "loss": 1.487548828125, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.7037037037037037, | |
| "grad_norm": 0.5804216861724854, | |
| "learning_rate": 9.657457896300791e-05, | |
| "loss": 1.50244140625, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.7407407407407407, | |
| "grad_norm": 0.6442767381668091, | |
| "learning_rate": 9.578385041664925e-05, | |
| "loss": 1.4619140625, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.7777777777777778, | |
| "grad_norm": 0.595580518245697, | |
| "learning_rate": 9.491548749301997e-05, | |
| "loss": 1.38671875, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.8148148148148148, | |
| "grad_norm": 71.91153717041016, | |
| "learning_rate": 9.397114317029975e-05, | |
| "loss": 1.3408203125, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.8518518518518519, | |
| "grad_norm": 0.4385150671005249, | |
| "learning_rate": 9.295261506157986e-05, | |
| "loss": 1.309814453125, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "grad_norm": 0.5251197814941406, | |
| "learning_rate": 9.186184199300464e-05, | |
| "loss": 1.227783203125, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.9259259259259259, | |
| "grad_norm": 0.46668022871017456, | |
| "learning_rate": 9.070090031310558e-05, | |
| "loss": 1.25146484375, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.9629629629629629, | |
| "grad_norm": 14.799480438232422, | |
| "learning_rate": 8.947199994035401e-05, | |
| "loss": 1.197509765625, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 0.6169384121894836, | |
| "learning_rate": 8.817748015645558e-05, | |
| "loss": 1.129150390625, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.037037037037037, | |
| "grad_norm": 0.2736778259277344, | |
| "learning_rate": 8.681980515339464e-05, | |
| "loss": 1.137969970703125, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.074074074074074, | |
| "grad_norm": 1.0230766534805298, | |
| "learning_rate": 8.540155934270471e-05, | |
| "loss": 1.297119140625, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.1111111111111112, | |
| "grad_norm": 0.33532634377479553, | |
| "learning_rate": 8.392544243589427e-05, | |
| "loss": 1.181884765625, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.1481481481481481, | |
| "grad_norm": 0.15526258945465088, | |
| "learning_rate": 8.239426430539243e-05, | |
| "loss": 1.030364990234375, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.1851851851851851, | |
| "grad_norm": 0.3886986970901489, | |
| "learning_rate": 8.081093963579707e-05, | |
| "loss": 1.21435546875, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.2222222222222223, | |
| "grad_norm": 0.22374582290649414, | |
| "learning_rate": 7.917848237560709e-05, | |
| "loss": 1.21533203125, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.2222222222222223, | |
| "eval_loss": 0.998291015625, | |
| "eval_runtime": 9.314, | |
| "eval_samples_per_second": 0.537, | |
| "eval_steps_per_second": 0.107, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.2592592592592593, | |
| "grad_norm": 0.26931798458099365, | |
| "learning_rate": 7.75e-05, | |
| "loss": 1.14697265625, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 1.2962962962962963, | |
| "grad_norm": 0.5589653253555298, | |
| "learning_rate": 7.577868759557654e-05, | |
| "loss": 1.065185546875, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 0.3567545413970947, | |
| "learning_rate": 7.401782177833148e-05, | |
| "loss": 0.8294367790222168, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 1.3703703703703702, | |
| "grad_norm": 0.18000337481498718, | |
| "learning_rate": 7.222075445642904e-05, | |
| "loss": 0.8375091552734375, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 1.4074074074074074, | |
| "grad_norm": 0.8078757524490356, | |
| "learning_rate": 7.03909064496551e-05, | |
| "loss": 1.0029296875, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 1.4444444444444444, | |
| "grad_norm": 0.16444790363311768, | |
| "learning_rate": 6.853176097769229e-05, | |
| "loss": 1.0390625, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 1.4814814814814814, | |
| "grad_norm": 0.2736102342605591, | |
| "learning_rate": 6.664685702961344e-05, | |
| "loss": 1.21240234375, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 1.5185185185185186, | |
| "grad_norm": 0.11317350715398788, | |
| "learning_rate": 6.473978262721463e-05, | |
| "loss": 1.069091796875, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 1.5555555555555556, | |
| "grad_norm": 0.2357257455587387, | |
| "learning_rate": 6.281416799501188e-05, | |
| "loss": 0.8784103393554688, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 1.5925925925925926, | |
| "grad_norm": 0.26080557703971863, | |
| "learning_rate": 6.087367864990233e-05, | |
| "loss": 1.12451171875, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 1.6296296296296298, | |
| "grad_norm": 0.23005779087543488, | |
| "learning_rate": 5.8922008423644624e-05, | |
| "loss": 1.072998046875, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 0.1561451256275177, | |
| "learning_rate": 5.696287243144013e-05, | |
| "loss": 1.0537109375, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.7037037037037037, | |
| "grad_norm": 0.25621458888053894, | |
| "learning_rate": 5.500000000000001e-05, | |
| "loss": 1.09716796875, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.7407407407407407, | |
| "grad_norm": 0.5164171457290649, | |
| "learning_rate": 5.303712756855988e-05, | |
| "loss": 1.090087890625, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "grad_norm": 0.09791528433561325, | |
| "learning_rate": 5.107799157635538e-05, | |
| "loss": 1.091552734375, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.8148148148148149, | |
| "grad_norm": 0.5729214549064636, | |
| "learning_rate": 4.912632135009769e-05, | |
| "loss": 1.0859375, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.8148148148148149, | |
| "eval_loss": 0.9398193359375, | |
| "eval_runtime": 9.3411, | |
| "eval_samples_per_second": 0.535, | |
| "eval_steps_per_second": 0.107, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.8518518518518519, | |
| "grad_norm": 0.4189198911190033, | |
| "learning_rate": 4.718583200498814e-05, | |
| "loss": 1.086181640625, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.8888888888888888, | |
| "grad_norm": 0.5916740298271179, | |
| "learning_rate": 4.526021737278538e-05, | |
| "loss": 1.03759765625, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 1.925925925925926, | |
| "grad_norm": 0.20379354059696198, | |
| "learning_rate": 4.3353142970386564e-05, | |
| "loss": 1.064453125, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.9629629629629628, | |
| "grad_norm": 0.12169843912124634, | |
| "learning_rate": 4.146823902230772e-05, | |
| "loss": 1.01416015625, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 0.2611161172389984, | |
| "learning_rate": 3.960909355034491e-05, | |
| "loss": 0.963134765625, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 2.037037037037037, | |
| "grad_norm": 0.6009112000465393, | |
| "learning_rate": 3.777924554357096e-05, | |
| "loss": 0.9714813232421875, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 2.074074074074074, | |
| "grad_norm": 0.15203095972537994, | |
| "learning_rate": 3.598217822166854e-05, | |
| "loss": 1.120361328125, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 2.111111111111111, | |
| "grad_norm": 0.06331958621740341, | |
| "learning_rate": 3.422131240442349e-05, | |
| "loss": 1.034423828125, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 2.148148148148148, | |
| "grad_norm": 4.770232677459717, | |
| "learning_rate": 3.250000000000001e-05, | |
| "loss": 0.913543701171875, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 2.185185185185185, | |
| "grad_norm": 0.20527023077011108, | |
| "learning_rate": 3.082151762439293e-05, | |
| "loss": 1.099365234375, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 2.2222222222222223, | |
| "grad_norm": 0.1961517482995987, | |
| "learning_rate": 2.9189060364202943e-05, | |
| "loss": 1.1103515625, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 2.259259259259259, | |
| "grad_norm": 0.26783716678619385, | |
| "learning_rate": 2.760573569460757e-05, | |
| "loss": 1.058837890625, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 2.2962962962962963, | |
| "grad_norm": 0.11685217916965485, | |
| "learning_rate": 2.6074557564105727e-05, | |
| "loss": 0.989990234375, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 2.3333333333333335, | |
| "grad_norm": 0.14141230285167694, | |
| "learning_rate": 2.459844065729529e-05, | |
| "loss": 0.7748198509216309, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 2.3703703703703702, | |
| "grad_norm": 0.1857534795999527, | |
| "learning_rate": 2.3180194846605367e-05, | |
| "loss": 0.7857666015625, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 2.4074074074074074, | |
| "grad_norm": 0.37999841570854187, | |
| "learning_rate": 2.1822519843544424e-05, | |
| "loss": 0.945068359375, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 2.4074074074074074, | |
| "eval_loss": 0.920654296875, | |
| "eval_runtime": 9.3651, | |
| "eval_samples_per_second": 0.534, | |
| "eval_steps_per_second": 0.107, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 2.4444444444444446, | |
| "grad_norm": 0.15239450335502625, | |
| "learning_rate": 2.0528000059645997e-05, | |
| "loss": 0.97900390625, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 2.4814814814814814, | |
| "grad_norm": 0.18943148851394653, | |
| "learning_rate": 1.9299099686894423e-05, | |
| "loss": 1.13427734375, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 2.5185185185185186, | |
| "grad_norm": 0.2281315177679062, | |
| "learning_rate": 1.8138158006995364e-05, | |
| "loss": 1.007080078125, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 2.5555555555555554, | |
| "grad_norm": 0.17008155584335327, | |
| "learning_rate": 1.7047384938420154e-05, | |
| "loss": 0.8326797485351562, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 2.5925925925925926, | |
| "grad_norm": 0.7526993751525879, | |
| "learning_rate": 1.602885682970026e-05, | |
| "loss": 1.0673828125, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 2.6296296296296298, | |
| "grad_norm": 0.20475514233112335, | |
| "learning_rate": 1.5084512506980026e-05, | |
| "loss": 1.022705078125, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 2.6666666666666665, | |
| "grad_norm": 0.36841246485710144, | |
| "learning_rate": 1.4216149583350754e-05, | |
| "loss": 1.00927734375, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 2.7037037037037037, | |
| "grad_norm": 0.23206254839897156, | |
| "learning_rate": 1.3425421036992098e-05, | |
| "loss": 1.05712890625, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 2.7407407407407405, | |
| "grad_norm": 1.6135830879211426, | |
| "learning_rate": 1.2713832064634126e-05, | |
| "loss": 1.049560546875, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 2.7777777777777777, | |
| "grad_norm": 0.1320762187242508, | |
| "learning_rate": 1.2082737216329794e-05, | |
| "loss": 1.0556640625, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 2.814814814814815, | |
| "grad_norm": 0.2588306963443756, | |
| "learning_rate": 1.1533337816991932e-05, | |
| "loss": 1.052490234375, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 2.851851851851852, | |
| "grad_norm": 0.15002970397472382, | |
| "learning_rate": 1.1066679679603e-05, | |
| "loss": 1.054931640625, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 2.888888888888889, | |
| "grad_norm": 0.0859217718243599, | |
| "learning_rate": 1.0683651114450641e-05, | |
| "loss": 1.009033203125, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 2.925925925925926, | |
| "grad_norm": 0.39869746565818787, | |
| "learning_rate": 1.0384981238178534e-05, | |
| "loss": 1.037353515625, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 2.962962962962963, | |
| "grad_norm": 0.16209864616394043, | |
| "learning_rate": 1.017123858587145e-05, | |
| "loss": 0.98876953125, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 0.16407747566699982, | |
| "learning_rate": 1.00428300288164e-05, | |
| "loss": 0.93994140625, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.912109375, | |
| "eval_runtime": 9.3249, | |
| "eval_samples_per_second": 0.536, | |
| "eval_steps_per_second": 0.107, | |
| "step": 81 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 81, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 0, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5.587311831401103e+18, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |