Instructions to use anhdai312/Math19 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use anhdai312/Math19 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("anhdai312/Math19", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Studio
How to use anhdai312/Math19 with Unsloth Studio:
Install Unsloth Studio (macOS, Linux, WSL)
curl -fsSL https://unsloth.ai/install.sh | sh # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for anhdai312/Math19 to start chatting
Install Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex # Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for anhdai312/Math19 to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for anhdai312/Math19 to start chatting
Load model with FastModel
pip install unsloth from unsloth import FastModel model, tokenizer = FastModel.from_pretrained( model_name="anhdai312/Math19", max_seq_length=2048, )
Invalid JSON:Unexpected token 'N', ..."ad_norm": NaN,
"... is not valid JSON
| { | |
| "best_global_step": 90, | |
| "best_metric": 0.4230247437953949, | |
| "best_model_checkpoint": "/tmp/checkpoints_/job_dee14721-c20d-4532-9438-f037e42d05fa/checkpoint-90", | |
| "epoch": 2.0, | |
| "eval_steps": 10, | |
| "global_step": 90, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.022222222222222223, | |
| "grad_norm": 5.87138032913208, | |
| "learning_rate": 0.0, | |
| "loss": 3.333970069885254, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.044444444444444446, | |
| "grad_norm": NaN, | |
| "learning_rate": 1e-05, | |
| "loss": 3.8522658348083496, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.06666666666666667, | |
| "grad_norm": 6.316606044769287, | |
| "learning_rate": 1e-05, | |
| "loss": 3.6522226333618164, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.08888888888888889, | |
| "grad_norm": 7.078700065612793, | |
| "learning_rate": 2e-05, | |
| "loss": 3.447444438934326, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.1111111111111111, | |
| "grad_norm": 6.362159729003906, | |
| "learning_rate": 3e-05, | |
| "loss": 3.92345929145813, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.13333333333333333, | |
| "grad_norm": 6.476008415222168, | |
| "learning_rate": 4e-05, | |
| "loss": 3.6273388862609863, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.15555555555555556, | |
| "grad_norm": 5.623299598693848, | |
| "learning_rate": 5e-05, | |
| "loss": 3.505007266998291, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.17777777777777778, | |
| "grad_norm": 4.786308288574219, | |
| "learning_rate": 4.961538461538462e-05, | |
| "loss": 3.331632137298584, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 5.265624523162842, | |
| "learning_rate": 4.923076923076924e-05, | |
| "loss": 3.1580982208251953, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.2222222222222222, | |
| "grad_norm": 5.30989933013916, | |
| "learning_rate": 4.884615384615385e-05, | |
| "loss": 3.02443790435791, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.2222222222222222, | |
| "eval_loss": 3.1489245891571045, | |
| "eval_runtime": 0.6942, | |
| "eval_samples_per_second": 28.81, | |
| "eval_steps_per_second": 7.202, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.24444444444444444, | |
| "grad_norm": 5.131834506988525, | |
| "learning_rate": 4.846153846153846e-05, | |
| "loss": 2.9736461639404297, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.26666666666666666, | |
| "grad_norm": 5.027902603149414, | |
| "learning_rate": 4.8076923076923084e-05, | |
| "loss": 3.3082339763641357, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.28888888888888886, | |
| "grad_norm": 4.972473621368408, | |
| "learning_rate": 4.76923076923077e-05, | |
| "loss": 3.136728286743164, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.3111111111111111, | |
| "grad_norm": 5.016367435455322, | |
| "learning_rate": 4.730769230769231e-05, | |
| "loss": 3.0399789810180664, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.3333333333333333, | |
| "grad_norm": 5.018073558807373, | |
| "learning_rate": 4.692307692307693e-05, | |
| "loss": 2.875364303588867, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.35555555555555557, | |
| "grad_norm": 4.275290012359619, | |
| "learning_rate": 4.653846153846154e-05, | |
| "loss": 2.5802812576293945, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.37777777777777777, | |
| "grad_norm": 5.652186870574951, | |
| "learning_rate": 4.615384615384616e-05, | |
| "loss": 2.5892136096954346, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 5.4209089279174805, | |
| "learning_rate": 4.576923076923077e-05, | |
| "loss": 2.4496333599090576, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.4222222222222222, | |
| "grad_norm": 5.391123294830322, | |
| "learning_rate": 4.538461538461539e-05, | |
| "loss": 2.800614833831787, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "grad_norm": 5.081115245819092, | |
| "learning_rate": 4.5e-05, | |
| "loss": 2.662580728530884, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.4444444444444444, | |
| "eval_loss": 2.5146267414093018, | |
| "eval_runtime": 0.6885, | |
| "eval_samples_per_second": 29.048, | |
| "eval_steps_per_second": 7.262, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.4666666666666667, | |
| "grad_norm": 6.204960823059082, | |
| "learning_rate": 4.461538461538462e-05, | |
| "loss": 2.5791611671447754, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.4888888888888889, | |
| "grad_norm": 5.024198532104492, | |
| "learning_rate": 4.423076923076923e-05, | |
| "loss": 2.480907678604126, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.5111111111111111, | |
| "grad_norm": 5.818419933319092, | |
| "learning_rate": 4.384615384615385e-05, | |
| "loss": 2.482961654663086, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.5333333333333333, | |
| "grad_norm": 4.510318279266357, | |
| "learning_rate": 4.346153846153846e-05, | |
| "loss": 2.291290283203125, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.5555555555555556, | |
| "grad_norm": 5.408440113067627, | |
| "learning_rate": 4.3076923076923084e-05, | |
| "loss": 2.196018695831299, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.5777777777777777, | |
| "grad_norm": 5.395529270172119, | |
| "learning_rate": 4.269230769230769e-05, | |
| "loss": 2.4523730278015137, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 4.714017868041992, | |
| "learning_rate": 4.230769230769231e-05, | |
| "loss": 2.0109505653381348, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.6222222222222222, | |
| "grad_norm": 5.9115118980407715, | |
| "learning_rate": 4.192307692307693e-05, | |
| "loss": 2.0749101638793945, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.6444444444444445, | |
| "grad_norm": 4.3610992431640625, | |
| "learning_rate": 4.1538461538461544e-05, | |
| "loss": 1.9675894975662231, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "grad_norm": 4.657850742340088, | |
| "learning_rate": 4.115384615384615e-05, | |
| "loss": 1.7926883697509766, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.6666666666666666, | |
| "eval_loss": 2.016049861907959, | |
| "eval_runtime": 0.7002, | |
| "eval_samples_per_second": 28.564, | |
| "eval_steps_per_second": 7.141, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.6888888888888889, | |
| "grad_norm": 5.570796489715576, | |
| "learning_rate": 4.0769230769230773e-05, | |
| "loss": 1.9156622886657715, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.7111111111111111, | |
| "grad_norm": 4.96622371673584, | |
| "learning_rate": 4.038461538461539e-05, | |
| "loss": 1.678513765335083, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.7333333333333333, | |
| "grad_norm": 5.127869606018066, | |
| "learning_rate": 4e-05, | |
| "loss": 1.8418490886688232, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.7555555555555555, | |
| "grad_norm": 5.629909038543701, | |
| "learning_rate": 3.961538461538462e-05, | |
| "loss": 1.8050181865692139, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.7777777777777778, | |
| "grad_norm": 5.332027912139893, | |
| "learning_rate": 3.923076923076923e-05, | |
| "loss": 1.5306370258331299, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 5.3822021484375, | |
| "learning_rate": 3.884615384615385e-05, | |
| "loss": 1.665320873260498, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.8222222222222222, | |
| "grad_norm": 5.958496570587158, | |
| "learning_rate": 3.846153846153846e-05, | |
| "loss": 1.483096718788147, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.8444444444444444, | |
| "grad_norm": 6.1535539627075195, | |
| "learning_rate": 3.807692307692308e-05, | |
| "loss": 1.7172764539718628, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.8666666666666667, | |
| "grad_norm": 6.259358882904053, | |
| "learning_rate": 3.769230769230769e-05, | |
| "loss": 1.7732570171356201, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "grad_norm": 4.751931667327881, | |
| "learning_rate": 3.730769230769231e-05, | |
| "loss": 1.2387514114379883, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.8888888888888888, | |
| "eval_loss": 1.6059402227401733, | |
| "eval_runtime": 0.6877, | |
| "eval_samples_per_second": 29.081, | |
| "eval_steps_per_second": 7.27, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.9111111111111111, | |
| "grad_norm": 7.033973217010498, | |
| "learning_rate": 3.692307692307693e-05, | |
| "loss": 1.7372736930847168, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.9333333333333333, | |
| "grad_norm": 6.1621599197387695, | |
| "learning_rate": 3.653846153846154e-05, | |
| "loss": 1.569137692451477, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.9555555555555556, | |
| "grad_norm": 4.52653169631958, | |
| "learning_rate": 3.615384615384615e-05, | |
| "loss": 1.3664658069610596, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.9777777777777777, | |
| "grad_norm": 5.134096622467041, | |
| "learning_rate": 3.5769230769230774e-05, | |
| "loss": 1.2201919555664062, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 6.698665142059326, | |
| "learning_rate": 3.538461538461539e-05, | |
| "loss": 1.447831153869629, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 1.0222222222222221, | |
| "grad_norm": 4.538883209228516, | |
| "learning_rate": 3.5e-05, | |
| "loss": 1.277827262878418, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.0444444444444445, | |
| "grad_norm": 5.439610004425049, | |
| "learning_rate": 3.461538461538462e-05, | |
| "loss": 1.285160779953003, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 1.0666666666666667, | |
| "grad_norm": 5.188867092132568, | |
| "learning_rate": 3.4230769230769234e-05, | |
| "loss": 0.9196145534515381, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 1.0888888888888888, | |
| "grad_norm": 5.185536861419678, | |
| "learning_rate": 3.384615384615385e-05, | |
| "loss": 0.9245643019676208, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 1.1111111111111112, | |
| "grad_norm": 6.820492744445801, | |
| "learning_rate": 3.346153846153846e-05, | |
| "loss": 1.1991827487945557, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.1111111111111112, | |
| "eval_loss": 1.2328484058380127, | |
| "eval_runtime": 0.6853, | |
| "eval_samples_per_second": 29.185, | |
| "eval_steps_per_second": 7.296, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.1333333333333333, | |
| "grad_norm": 6.76528263092041, | |
| "learning_rate": 3.307692307692308e-05, | |
| "loss": 1.1789758205413818, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 1.1555555555555554, | |
| "grad_norm": 6.927876949310303, | |
| "learning_rate": 3.269230769230769e-05, | |
| "loss": 0.9650276303291321, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 1.1777777777777778, | |
| "grad_norm": 5.535730838775635, | |
| "learning_rate": 3.230769230769231e-05, | |
| "loss": 0.9436954259872437, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 5.6094441413879395, | |
| "learning_rate": 3.192307692307692e-05, | |
| "loss": 0.9939174652099609, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 1.2222222222222223, | |
| "grad_norm": 5.440947532653809, | |
| "learning_rate": 3.153846153846154e-05, | |
| "loss": 1.0225588083267212, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 1.2444444444444445, | |
| "grad_norm": 5.308763027191162, | |
| "learning_rate": 3.115384615384615e-05, | |
| "loss": 1.1128517389297485, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 1.2666666666666666, | |
| "grad_norm": 6.255494117736816, | |
| "learning_rate": 3.0769230769230774e-05, | |
| "loss": 1.0173512697219849, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 1.2888888888888888, | |
| "grad_norm": 5.410623550415039, | |
| "learning_rate": 3.0384615384615382e-05, | |
| "loss": 0.8253780603408813, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 1.3111111111111111, | |
| "grad_norm": 6.577842712402344, | |
| "learning_rate": 3e-05, | |
| "loss": 0.919189453125, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "grad_norm": 5.62638521194458, | |
| "learning_rate": 2.9615384615384616e-05, | |
| "loss": 0.8745652437210083, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.3333333333333333, | |
| "eval_loss": 0.9308679699897766, | |
| "eval_runtime": 0.6899, | |
| "eval_samples_per_second": 28.99, | |
| "eval_steps_per_second": 7.248, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.3555555555555556, | |
| "grad_norm": 5.577669620513916, | |
| "learning_rate": 2.9230769230769234e-05, | |
| "loss": 0.9851076006889343, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 1.3777777777777778, | |
| "grad_norm": 6.061960220336914, | |
| "learning_rate": 2.8846153846153845e-05, | |
| "loss": 0.8584026098251343, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 5.552649021148682, | |
| "learning_rate": 2.846153846153846e-05, | |
| "loss": 0.7414474487304688, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 1.4222222222222223, | |
| "grad_norm": 5.330775737762451, | |
| "learning_rate": 2.807692307692308e-05, | |
| "loss": 0.7163383960723877, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 1.4444444444444444, | |
| "grad_norm": 5.08062744140625, | |
| "learning_rate": 2.7692307692307694e-05, | |
| "loss": 0.6349257826805115, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 1.4666666666666668, | |
| "grad_norm": 6.24244499206543, | |
| "learning_rate": 2.7307692307692305e-05, | |
| "loss": 0.734074592590332, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 1.488888888888889, | |
| "grad_norm": 5.124273777008057, | |
| "learning_rate": 2.6923076923076923e-05, | |
| "loss": 0.57187420129776, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 1.511111111111111, | |
| "grad_norm": 7.708939075469971, | |
| "learning_rate": 2.6538461538461538e-05, | |
| "loss": 0.6959559321403503, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 1.5333333333333332, | |
| "grad_norm": 8.645610809326172, | |
| "learning_rate": 2.6153846153846157e-05, | |
| "loss": 0.8737912178039551, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 1.5555555555555556, | |
| "grad_norm": 5.395994186401367, | |
| "learning_rate": 2.5769230769230768e-05, | |
| "loss": 0.7113362550735474, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.5555555555555556, | |
| "eval_loss": 0.6864913702011108, | |
| "eval_runtime": 0.6965, | |
| "eval_samples_per_second": 28.716, | |
| "eval_steps_per_second": 7.179, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.5777777777777777, | |
| "grad_norm": 5.260697841644287, | |
| "learning_rate": 2.5384615384615383e-05, | |
| "loss": 0.5419008731842041, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 4.789445400238037, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.6413639783859253, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 1.6222222222222222, | |
| "grad_norm": 6.9997124671936035, | |
| "learning_rate": 2.461538461538462e-05, | |
| "loss": 0.5860044360160828, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 1.6444444444444444, | |
| "grad_norm": 5.2596564292907715, | |
| "learning_rate": 2.423076923076923e-05, | |
| "loss": 0.5544954538345337, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 1.6666666666666665, | |
| "grad_norm": 4.984217166900635, | |
| "learning_rate": 2.384615384615385e-05, | |
| "loss": 0.5622981786727905, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 1.6888888888888889, | |
| "grad_norm": 5.373387813568115, | |
| "learning_rate": 2.3461538461538464e-05, | |
| "loss": 0.5327613949775696, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 1.7111111111111112, | |
| "grad_norm": 3.9502971172332764, | |
| "learning_rate": 2.307692307692308e-05, | |
| "loss": 0.47186025977134705, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 1.7333333333333334, | |
| "grad_norm": 5.415130615234375, | |
| "learning_rate": 2.2692307692307694e-05, | |
| "loss": 0.5782798528671265, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.7555555555555555, | |
| "grad_norm": 6.2089104652404785, | |
| "learning_rate": 2.230769230769231e-05, | |
| "loss": 0.6664197444915771, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "grad_norm": 5.193050861358643, | |
| "learning_rate": 2.1923076923076924e-05, | |
| "loss": 0.5752044916152954, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.7777777777777777, | |
| "eval_loss": 0.5675191879272461, | |
| "eval_runtime": 0.7073, | |
| "eval_samples_per_second": 28.278, | |
| "eval_steps_per_second": 7.069, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "grad_norm": 4.315133571624756, | |
| "learning_rate": 2.1538461538461542e-05, | |
| "loss": 0.4048479199409485, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 1.8222222222222222, | |
| "grad_norm": 5.358142375946045, | |
| "learning_rate": 2.1153846153846154e-05, | |
| "loss": 0.552968442440033, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 1.8444444444444446, | |
| "grad_norm": 6.099940299987793, | |
| "learning_rate": 2.0769230769230772e-05, | |
| "loss": 0.4713404178619385, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 1.8666666666666667, | |
| "grad_norm": 6.3764848709106445, | |
| "learning_rate": 2.0384615384615387e-05, | |
| "loss": 0.44388440251350403, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 1.8888888888888888, | |
| "grad_norm": 5.32869815826416, | |
| "learning_rate": 2e-05, | |
| "loss": 0.35722827911376953, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 1.911111111111111, | |
| "grad_norm": 4.6434431076049805, | |
| "learning_rate": 1.9615384615384617e-05, | |
| "loss": 0.37209007143974304, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 1.9333333333333333, | |
| "grad_norm": 5.760197639465332, | |
| "learning_rate": 1.923076923076923e-05, | |
| "loss": 0.3956947326660156, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 1.9555555555555557, | |
| "grad_norm": 4.9346489906311035, | |
| "learning_rate": 1.8846153846153846e-05, | |
| "loss": 0.34232836961746216, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 1.9777777777777779, | |
| "grad_norm": 6.571290969848633, | |
| "learning_rate": 1.8461538461538465e-05, | |
| "loss": 0.5473036170005798, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 6.914135932922363, | |
| "learning_rate": 1.8076923076923076e-05, | |
| "loss": 0.43153804540634155, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.4230247437953949, | |
| "eval_runtime": 0.7059, | |
| "eval_samples_per_second": 28.331, | |
| "eval_steps_per_second": 7.083, | |
| "step": 90 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 135, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 10, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 93362349857280.0, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |