Instructions to use Team-PIXEL/pixel-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Team-PIXEL/pixel-base with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModelForPreTraining model = AutoModelForPreTraining.from_pretrained("Team-PIXEL/pixel-base", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download last-checkpoint/trainer_state.json from Team-PIXEL/pixel-base: direct link, hf CLI and curl.
- Browser
- Download file 72 kB
-
https://huggingface.co/Team-PIXEL/pixel-base/resolve/d64ffb382683437e474c03170920c6b5763017ae/last-checkpoint/trainer_state.json
- Command line
-
hf download hf://Team-PIXEL/pixel-base@d64ffb382683437e474c03170920c6b5763017ae/last-checkpoint/trainer_state.json
-
curl -L -o trainer_state.json https://huggingface.co/Team-PIXEL/pixel-base/resolve/d64ffb382683437e474c03170920c6b5763017ae/last-checkpoint/trainer_state.json
72 kB
| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 7.024294898224075, | |
| "global_step": 460000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 2.9999999999999997e-06, | |
| "loss": 0.8784, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 5.999999999999999e-06, | |
| "loss": 0.77, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 8.999999999999999e-06, | |
| "loss": 0.7664, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 1.1999999999999999e-05, | |
| "loss": 0.7655, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 1.4999999999999999e-05, | |
| "loss": 0.765, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_runtime": 1.3797, | |
| "eval_samples_per_second": 724.791, | |
| "eval_steps_per_second": 11.597, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 1.7999999999999997e-05, | |
| "loss": 0.7647, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 2.1e-05, | |
| "loss": 0.7644, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 2.3999999999999997e-05, | |
| "loss": 0.7638, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 2.6999999999999996e-05, | |
| "loss": 0.7633, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 2.9999999999999997e-05, | |
| "loss": 0.76, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_runtime": 1.1376, | |
| "eval_samples_per_second": 879.066, | |
| "eval_steps_per_second": 14.065, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 3.2999999999999996e-05, | |
| "loss": 0.7148, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 3.5999999999999994e-05, | |
| "loss": 0.6963, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 3.9e-05, | |
| "loss": 0.6755, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 4.2e-05, | |
| "loss": 0.6516, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 4.4999999999999996e-05, | |
| "loss": 0.6412, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_runtime": 1.1689, | |
| "eval_samples_per_second": 855.472, | |
| "eval_steps_per_second": 13.688, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 4.7999999999999994e-05, | |
| "loss": 0.6348, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 5.1e-05, | |
| "loss": 0.6295, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 5.399999999999999e-05, | |
| "loss": 0.6224, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 5.6999999999999996e-05, | |
| "loss": 0.6169, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 5.9999999999999995e-05, | |
| "loss": 0.6113, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "eval_runtime": 1.0179, | |
| "eval_samples_per_second": 982.441, | |
| "eval_steps_per_second": 15.719, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 6.299999999999999e-05, | |
| "loss": 0.6074, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 6.599999999999999e-05, | |
| "loss": 0.6039, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 6.9e-05, | |
| "loss": 0.6005, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 7.199999999999999e-05, | |
| "loss": 0.5968, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 7.5e-05, | |
| "loss": 0.5932, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_runtime": 1.1249, | |
| "eval_samples_per_second": 888.989, | |
| "eval_steps_per_second": 14.224, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 7.8e-05, | |
| "loss": 0.5912, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 8.1e-05, | |
| "loss": 0.58, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 8.4e-05, | |
| "loss": 0.5698, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 8.699999999999999e-05, | |
| "loss": 0.5639, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 8.999999999999999e-05, | |
| "loss": 0.5601, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_runtime": 1.0096, | |
| "eval_samples_per_second": 990.512, | |
| "eval_steps_per_second": 15.848, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 9.3e-05, | |
| "loss": 0.5536, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 9.599999999999999e-05, | |
| "loss": 0.5496, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 9.9e-05, | |
| "loss": 0.5458, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 0.000102, | |
| "loss": 0.5426, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 0.00010499999999999999, | |
| "loss": 0.5394, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_runtime": 1.3102, | |
| "eval_samples_per_second": 763.27, | |
| "eval_steps_per_second": 12.212, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 0.00010799999999999998, | |
| "loss": 0.5345, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 0.00011099999999999999, | |
| "loss": 0.5302, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 0.00011399999999999999, | |
| "loss": 0.527, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 0.000117, | |
| "loss": 0.5232, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 0.00011999999999999999, | |
| "loss": 0.5202, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_runtime": 1.0146, | |
| "eval_samples_per_second": 985.598, | |
| "eval_steps_per_second": 15.77, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 0.00012299999999999998, | |
| "loss": 0.5163, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 0.00012599999999999997, | |
| "loss": 0.5126, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 0.000129, | |
| "loss": 0.5094, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 0.00013199999999999998, | |
| "loss": 0.5061, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 0.000135, | |
| "loss": 0.5036, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_runtime": 1.0362, | |
| "eval_samples_per_second": 965.067, | |
| "eval_steps_per_second": 15.441, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 0.000138, | |
| "loss": 0.4995, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 0.00014099999999999998, | |
| "loss": 0.4967, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 0.00014399999999999998, | |
| "loss": 0.4934, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 0.000147, | |
| "loss": 0.4898, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 0.00015, | |
| "loss": 0.4863, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "eval_runtime": 1.0374, | |
| "eval_samples_per_second": 963.96, | |
| "eval_steps_per_second": 15.423, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 0.0001499996172456075, | |
| "loss": 0.4824, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "learning_rate": 0.00014999846898661572, | |
| "loss": 0.4778, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 0.00014999655523558183, | |
| "loss": 0.474, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 0.00014999387601343436, | |
| "loss": 0.4694, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 0.00014999043134947282, | |
| "loss": 0.4651, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "eval_runtime": 1.0465, | |
| "eval_samples_per_second": 955.566, | |
| "eval_steps_per_second": 15.289, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 0.00014998622128136748, | |
| "loss": 0.4608, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 0.000149981245855159, | |
| "loss": 0.4566, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 0.00014997550512525784, | |
| "loss": 0.4523, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 0.0001499689991544437, | |
| "loss": 0.4483, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 0.00014996172801386482, | |
| "loss": 0.4447, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "eval_runtime": 1.2288, | |
| "eval_samples_per_second": 813.826, | |
| "eval_steps_per_second": 13.021, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 0.00014995369178303722, | |
| "loss": 0.4408, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 0.0001499448905498439, | |
| "loss": 0.4381, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 0.00014993532441053364, | |
| "loss": 0.434, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 0.0001499249934697203, | |
| "loss": 0.4316, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 0.0001499138978403813, | |
| "loss": 0.4275, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_runtime": 1.0345, | |
| "eval_samples_per_second": 966.655, | |
| "eval_steps_per_second": 15.466, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 0.00014990203764385677, | |
| "loss": 0.425, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 0.00014988941300984784, | |
| "loss": 0.422, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 0.0001498760240764155, | |
| "loss": 0.4191, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "learning_rate": 0.000149861870989979, | |
| "loss": 0.4164, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 0.0001498469539053142, | |
| "loss": 0.4138, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "eval_runtime": 1.1341, | |
| "eval_samples_per_second": 881.784, | |
| "eval_steps_per_second": 14.109, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 0.00014983127298555198, | |
| "loss": 0.4114, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 0.00014981482840217632, | |
| "loss": 0.4086, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 0.00014979762033502262, | |
| "loss": 0.4066, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 0.00014977964897227547, | |
| "loss": 0.4042, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 0.00014976091451046687, | |
| "loss": 0.402, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "eval_runtime": 1.0331, | |
| "eval_samples_per_second": 967.957, | |
| "eval_steps_per_second": 15.487, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 0.00014974141715447386, | |
| "loss": 0.3999, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 0.00014972115711751644, | |
| "loss": 0.398, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 0.00014970013462115505, | |
| "loss": 0.3971, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 0.00014967834989528843, | |
| "loss": 0.3942, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 0.00014965580317815078, | |
| "loss": 0.3926, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_runtime": 1.084, | |
| "eval_samples_per_second": 922.521, | |
| "eval_steps_per_second": 14.76, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 0.00014963249471630944, | |
| "loss": 0.3906, | |
| "step": 81000 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.000149608424764662, | |
| "loss": 0.391, | |
| "step": 82000 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "learning_rate": 0.0001495835935864336, | |
| "loss": 0.3875, | |
| "step": 83000 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 0.00014955800145317397, | |
| "loss": 0.3861, | |
| "step": 84000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 0.00014953164864475466, | |
| "loss": 0.3844, | |
| "step": 85000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_runtime": 1.0992, | |
| "eval_samples_per_second": 909.734, | |
| "eval_steps_per_second": 14.556, | |
| "step": 85000 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 0.0001495045354493657, | |
| "loss": 0.3829, | |
| "step": 86000 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 0.00014947666216351272, | |
| "loss": 0.3815, | |
| "step": 87000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 0.00014944802909201344, | |
| "loss": 0.38, | |
| "step": 88000 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 0.00014941863654799456, | |
| "loss": 0.3789, | |
| "step": 89000 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "learning_rate": 0.00014938848485288825, | |
| "loss": 0.3785, | |
| "step": 90000 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "eval_runtime": 0.9266, | |
| "eval_samples_per_second": 1079.167, | |
| "eval_steps_per_second": 17.267, | |
| "step": 90000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 0.0001493575743364286, | |
| "loss": 0.3766, | |
| "step": 91000 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 0.00014932590533664808, | |
| "loss": 0.3745, | |
| "step": 92000 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "learning_rate": 0.0001492934781998738, | |
| "loss": 0.3741, | |
| "step": 93000 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 0.0001492602932807237, | |
| "loss": 0.3729, | |
| "step": 94000 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 0.00014922635094210277, | |
| "loss": 0.3709, | |
| "step": 95000 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "eval_runtime": 0.9895, | |
| "eval_samples_per_second": 1010.579, | |
| "eval_steps_per_second": 16.169, | |
| "step": 95000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 0.000149191651555199, | |
| "loss": 0.3699, | |
| "step": 96000 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 0.0001491561954994793, | |
| "loss": 0.3688, | |
| "step": 97000 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 0.00014911998316268537, | |
| "loss": 0.3678, | |
| "step": 98000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 0.00014908301494082963, | |
| "loss": 0.3666, | |
| "step": 99000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 0.00014904529123819054, | |
| "loss": 0.3654, | |
| "step": 100000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "eval_runtime": 1.0046, | |
| "eval_samples_per_second": 995.424, | |
| "eval_steps_per_second": 15.927, | |
| "step": 100000 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 0.00014900681246730852, | |
| "loss": 0.3643, | |
| "step": 101000 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 0.00014896757904898125, | |
| "loss": 0.3646, | |
| "step": 102000 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 0.00014892759141225904, | |
| "loss": 0.3628, | |
| "step": 103000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 0.00014888684999444035, | |
| "loss": 0.3616, | |
| "step": 104000 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 0.00014884535524106675, | |
| "loss": 0.3604, | |
| "step": 105000 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "eval_runtime": 1.0499, | |
| "eval_samples_per_second": 952.499, | |
| "eval_steps_per_second": 15.24, | |
| "step": 105000 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 0.00014880310760591824, | |
| "loss": 0.3594, | |
| "step": 106000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 0.0001487601075510082, | |
| "loss": 0.3597, | |
| "step": 107000 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 0.0001487163555465783, | |
| "loss": 0.3583, | |
| "step": 108000 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 0.0001486718520710935, | |
| "loss": 0.3583, | |
| "step": 109000 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 0.00014862659761123663, | |
| "loss": 0.3558, | |
| "step": 110000 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "eval_runtime": 1.0153, | |
| "eval_samples_per_second": 984.91, | |
| "eval_steps_per_second": 15.759, | |
| "step": 110000 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 0.00014858059266190327, | |
| "loss": 0.3552, | |
| "step": 111000 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 0.00014853383772619612, | |
| "loss": 0.3544, | |
| "step": 112000 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 0.00014848633331541967, | |
| "loss": 0.3537, | |
| "step": 113000 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 0.0001484380799490746, | |
| "loss": 0.3524, | |
| "step": 114000 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 0.00014838907815485194, | |
| "loss": 0.3519, | |
| "step": 115000 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "eval_runtime": 1.003, | |
| "eval_samples_per_second": 997.001, | |
| "eval_steps_per_second": 15.952, | |
| "step": 115000 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "learning_rate": 0.00014833932846862748, | |
| "loss": 0.3511, | |
| "step": 116000 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 0.00014828883143445582, | |
| "loss": 0.3502, | |
| "step": 117000 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 0.0001482375876045644, | |
| "loss": 0.3493, | |
| "step": 118000 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 0.0001481855975393476, | |
| "loss": 0.3489, | |
| "step": 119000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 0.0001481328618073604, | |
| "loss": 0.3482, | |
| "step": 120000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "eval_runtime": 1.0596, | |
| "eval_samples_per_second": 943.744, | |
| "eval_steps_per_second": 15.1, | |
| "step": 120000 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 0.0001480793809853123, | |
| "loss": 0.3478, | |
| "step": 121000 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "learning_rate": 0.00014802515565806107, | |
| "loss": 0.3468, | |
| "step": 122000 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 0.00014797018641860612, | |
| "loss": 0.346, | |
| "step": 123000 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 0.0001479144738680823, | |
| "loss": 0.3474, | |
| "step": 124000 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 0.00014785801861575312, | |
| "loss": 0.3447, | |
| "step": 125000 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "eval_runtime": 0.9375, | |
| "eval_samples_per_second": 1066.699, | |
| "eval_steps_per_second": 17.067, | |
| "step": 125000 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 0.00014780082127900416, | |
| "loss": 0.3439, | |
| "step": 126000 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "learning_rate": 0.00014774288248333635, | |
| "loss": 0.3436, | |
| "step": 127000 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 0.00014768420286235908, | |
| "loss": 0.3429, | |
| "step": 128000 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 0.00014762478305778328, | |
| "loss": 0.3422, | |
| "step": 129000 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "learning_rate": 0.0001475646237194144, | |
| "loss": 0.3414, | |
| "step": 130000 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "eval_runtime": 1.0085, | |
| "eval_samples_per_second": 991.553, | |
| "eval_steps_per_second": 15.865, | |
| "step": 130000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 0.00014750372550514533, | |
| "loss": 0.3409, | |
| "step": 131000 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 0.0001474420890809492, | |
| "loss": 0.3401, | |
| "step": 132000 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "learning_rate": 0.00014737971512087202, | |
| "loss": 0.3396, | |
| "step": 133000 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "learning_rate": 0.00014731660430702552, | |
| "loss": 0.339, | |
| "step": 134000 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "learning_rate": 0.00014725275732957937, | |
| "loss": 0.3402, | |
| "step": 135000 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "eval_runtime": 1.1005, | |
| "eval_samples_per_second": 908.652, | |
| "eval_steps_per_second": 14.538, | |
| "step": 135000 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 0.00014718817488675387, | |
| "loss": 0.3379, | |
| "step": 136000 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 0.00014712285768481235, | |
| "loss": 0.3371, | |
| "step": 137000 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 0.00014705680643805323, | |
| "loss": 0.3368, | |
| "step": 138000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 0.00014699002186880232, | |
| "loss": 0.3363, | |
| "step": 139000 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 0.00014692250470740503, | |
| "loss": 0.3361, | |
| "step": 140000 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "eval_runtime": 1.0104, | |
| "eval_samples_per_second": 989.716, | |
| "eval_steps_per_second": 15.835, | |
| "step": 140000 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "learning_rate": 0.00014685425569221819, | |
| "loss": 0.3353, | |
| "step": 141000 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "learning_rate": 0.00014678527556960207, | |
| "loss": 0.3346, | |
| "step": 142000 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "learning_rate": 0.0001467155650939123, | |
| "loss": 0.3342, | |
| "step": 143000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 0.00014664512502749141, | |
| "loss": 0.3338, | |
| "step": 144000 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "learning_rate": 0.00014657395614066075, | |
| "loss": 0.3334, | |
| "step": 145000 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "eval_runtime": 1.0369, | |
| "eval_samples_per_second": 964.439, | |
| "eval_steps_per_second": 15.431, | |
| "step": 145000 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 0.0001465020592117118, | |
| "loss": 0.3327, | |
| "step": 146000 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "learning_rate": 0.0001464294350268979, | |
| "loss": 0.3324, | |
| "step": 147000 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 0.00014635608438042546, | |
| "loss": 0.3319, | |
| "step": 148000 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 0.00014628200807444543, | |
| "loss": 0.3313, | |
| "step": 149000 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 0.0001462072069190444, | |
| "loss": 0.3307, | |
| "step": 150000 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "eval_runtime": 1.0431, | |
| "eval_samples_per_second": 958.687, | |
| "eval_steps_per_second": 15.339, | |
| "step": 150000 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 0.00014613168173223585, | |
| "loss": 0.3308, | |
| "step": 151000 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 0.00014605543333995113, | |
| "loss": 0.3302, | |
| "step": 152000 | |
| }, | |
| { | |
| "epoch": 2.34, | |
| "learning_rate": 0.00014597846257603038, | |
| "loss": 0.3294, | |
| "step": 153000 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 0.0001459007702822136, | |
| "loss": 0.329, | |
| "step": 154000 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "learning_rate": 0.00014582235730813128, | |
| "loss": 0.3283, | |
| "step": 155000 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "eval_runtime": 1.0629, | |
| "eval_samples_per_second": 940.817, | |
| "eval_steps_per_second": 15.053, | |
| "step": 155000 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 0.00014574322451129507, | |
| "loss": 0.3281, | |
| "step": 156000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 0.00014566337275708863, | |
| "loss": 0.328, | |
| "step": 157000 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "learning_rate": 0.0001455828029187579, | |
| "loss": 0.3272, | |
| "step": 158000 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "learning_rate": 0.00014550151587740178, | |
| "loss": 0.3269, | |
| "step": 159000 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 0.00014541951252196225, | |
| "loss": 0.3265, | |
| "step": 160000 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "eval_runtime": 1.0199, | |
| "eval_samples_per_second": 980.452, | |
| "eval_steps_per_second": 15.687, | |
| "step": 160000 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "learning_rate": 0.00014533679374921493, | |
| "loss": 0.3259, | |
| "step": 161000 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 0.00014525336046375905, | |
| "loss": 0.3254, | |
| "step": 162000 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 0.00014516921357800766, | |
| "loss": 0.3251, | |
| "step": 163000 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 0.00014508435401217759, | |
| "loss": 0.3244, | |
| "step": 164000 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "learning_rate": 0.00014499878269427948, | |
| "loss": 0.3243, | |
| "step": 165000 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "eval_runtime": 1.0655, | |
| "eval_samples_per_second": 938.486, | |
| "eval_steps_per_second": 15.016, | |
| "step": 165000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 0.00014491250056010758, | |
| "loss": 0.3236, | |
| "step": 166000 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "learning_rate": 0.00014482550855322943, | |
| "loss": 0.3233, | |
| "step": 167000 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 0.0001447378076249757, | |
| "loss": 0.3231, | |
| "step": 168000 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "learning_rate": 0.00014464939873442973, | |
| "loss": 0.3228, | |
| "step": 169000 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "learning_rate": 0.00014456028284841693, | |
| "loss": 0.3221, | |
| "step": 170000 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "eval_runtime": 1.1756, | |
| "eval_samples_per_second": 850.656, | |
| "eval_steps_per_second": 13.611, | |
| "step": 170000 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 0.00014447046094149437, | |
| "loss": 0.3221, | |
| "step": 171000 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "learning_rate": 0.00014437993399594003, | |
| "loss": 0.3216, | |
| "step": 172000 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "learning_rate": 0.0001442887030017421, | |
| "loss": 0.3217, | |
| "step": 173000 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 0.00014419676895658807, | |
| "loss": 0.3208, | |
| "step": 174000 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 0.000144104132865854, | |
| "loss": 0.3207, | |
| "step": 175000 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "eval_runtime": 1.0679, | |
| "eval_samples_per_second": 936.423, | |
| "eval_steps_per_second": 14.983, | |
| "step": 175000 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 0.0001440107957425933, | |
| "loss": 0.3203, | |
| "step": 176000 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "learning_rate": 0.0001439167586075258, | |
| "loss": 0.3201, | |
| "step": 177000 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "learning_rate": 0.0001438220224890265, | |
| "loss": 0.3191, | |
| "step": 178000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 0.00014372658842311449, | |
| "loss": 0.3195, | |
| "step": 179000 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "learning_rate": 0.00014363045745344137, | |
| "loss": 0.3191, | |
| "step": 180000 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "eval_runtime": 1.0169, | |
| "eval_samples_per_second": 983.42, | |
| "eval_steps_per_second": 15.735, | |
| "step": 180000 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "learning_rate": 0.00014353363063128005, | |
| "loss": 0.3183, | |
| "step": 181000 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "learning_rate": 0.0001434361090155131, | |
| "loss": 0.3177, | |
| "step": 182000 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "learning_rate": 0.00014333789367262136, | |
| "loss": 0.3178, | |
| "step": 183000 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 0.00014323898567667202, | |
| "loss": 0.3177, | |
| "step": 184000 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "learning_rate": 0.00014313938610930712, | |
| "loss": 0.3171, | |
| "step": 185000 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "eval_runtime": 1.0441, | |
| "eval_samples_per_second": 957.721, | |
| "eval_steps_per_second": 15.324, | |
| "step": 185000 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "learning_rate": 0.00014303909605973154, | |
| "loss": 0.3167, | |
| "step": 186000 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 0.0001429381166247012, | |
| "loss": 0.3168, | |
| "step": 187000 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "learning_rate": 0.00014283644890851103, | |
| "loss": 0.3164, | |
| "step": 188000 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 0.00014273409402298291, | |
| "loss": 0.3161, | |
| "step": 189000 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "learning_rate": 0.00014263105308745343, | |
| "loss": 0.3155, | |
| "step": 190000 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "eval_runtime": 1.0119, | |
| "eval_samples_per_second": 988.212, | |
| "eval_steps_per_second": 15.811, | |
| "step": 190000 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 0.00014252732722876176, | |
| "loss": 0.3149, | |
| "step": 191000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 0.0001424229175812373, | |
| "loss": 0.3149, | |
| "step": 192000 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "learning_rate": 0.00014231782528668717, | |
| "loss": 0.3146, | |
| "step": 193000 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "learning_rate": 0.00014221205149438394, | |
| "loss": 0.3145, | |
| "step": 194000 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "learning_rate": 0.0001421055973610528, | |
| "loss": 0.3138, | |
| "step": 195000 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "eval_runtime": 1.0908, | |
| "eval_samples_per_second": 916.734, | |
| "eval_steps_per_second": 14.668, | |
| "step": 195000 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "learning_rate": 0.00014199846405085913, | |
| "loss": 0.3137, | |
| "step": 196000 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 0.00014189065273539564, | |
| "loss": 0.3135, | |
| "step": 197000 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "learning_rate": 0.00014178216459366958, | |
| "loss": 0.3137, | |
| "step": 198000 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "learning_rate": 0.00014167300081208988, | |
| "loss": 0.3131, | |
| "step": 199000 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "learning_rate": 0.00014156316258445421, | |
| "loss": 0.3125, | |
| "step": 200000 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "eval_runtime": 1.1346, | |
| "eval_samples_per_second": 881.333, | |
| "eval_steps_per_second": 14.101, | |
| "step": 200000 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "learning_rate": 0.00014145265111193583, | |
| "loss": 0.3121, | |
| "step": 201000 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "learning_rate": 0.00014134146760307043, | |
| "loss": 0.3122, | |
| "step": 202000 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "learning_rate": 0.00014122961327374313, | |
| "loss": 0.3131, | |
| "step": 203000 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 0.0001411170893471749, | |
| "loss": 0.3116, | |
| "step": 204000 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "learning_rate": 0.00014100389705390938, | |
| "loss": 0.311, | |
| "step": 205000 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "eval_runtime": 1.1239, | |
| "eval_samples_per_second": 889.731, | |
| "eval_steps_per_second": 14.236, | |
| "step": 205000 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "learning_rate": 0.0001408900376317994, | |
| "loss": 0.311, | |
| "step": 206000 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "learning_rate": 0.0001407755123259933, | |
| "loss": 0.3108, | |
| "step": 207000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 0.00014066032238892152, | |
| "loss": 0.3104, | |
| "step": 208000 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "learning_rate": 0.00014054446908028272, | |
| "loss": 0.3102, | |
| "step": 209000 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 0.00014042795366703018, | |
| "loss": 0.3097, | |
| "step": 210000 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "eval_runtime": 1.0233, | |
| "eval_samples_per_second": 977.233, | |
| "eval_steps_per_second": 15.636, | |
| "step": 210000 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 0.0001403107774233577, | |
| "loss": 0.3098, | |
| "step": 211000 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "learning_rate": 0.00014019294163068597, | |
| "loss": 0.3093, | |
| "step": 212000 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "learning_rate": 0.00014007444757764835, | |
| "loss": 0.3093, | |
| "step": 213000 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "learning_rate": 0.0001399552965600768, | |
| "loss": 0.3088, | |
| "step": 214000 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "learning_rate": 0.0001398354898809877, | |
| "loss": 0.3089, | |
| "step": 215000 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "eval_runtime": 1.0098, | |
| "eval_samples_per_second": 990.287, | |
| "eval_steps_per_second": 15.845, | |
| "step": 215000 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 0.0001397150288505678, | |
| "loss": 0.3315, | |
| "step": 216000 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 0.00013959391478615959, | |
| "loss": 0.628, | |
| "step": 217000 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "learning_rate": 0.00013947214901224706, | |
| "loss": 0.3112, | |
| "step": 218000 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "learning_rate": 0.0001393497328604412, | |
| "loss": 0.3094, | |
| "step": 219000 | |
| }, | |
| { | |
| "epoch": 3.36, | |
| "learning_rate": 0.00013922666766946545, | |
| "loss": 0.3082, | |
| "step": 220000 | |
| }, | |
| { | |
| "epoch": 3.36, | |
| "eval_runtime": 1.0751, | |
| "eval_samples_per_second": 930.139, | |
| "eval_steps_per_second": 14.882, | |
| "step": 220000 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "learning_rate": 0.00013910295478514106, | |
| "loss": 0.3079, | |
| "step": 221000 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "learning_rate": 0.0001389785955603722, | |
| "loss": 0.3077, | |
| "step": 222000 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 0.00013885359135513154, | |
| "loss": 0.3073, | |
| "step": 223000 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "learning_rate": 0.000138727943536445, | |
| "loss": 0.3064, | |
| "step": 224000 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "learning_rate": 0.00013860165347837698, | |
| "loss": 0.3066, | |
| "step": 225000 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "eval_runtime": 1.0901, | |
| "eval_samples_per_second": 917.309, | |
| "eval_steps_per_second": 14.677, | |
| "step": 225000 | |
| }, | |
| { | |
| "epoch": 3.45, | |
| "learning_rate": 0.00013847472256201535, | |
| "loss": 0.306, | |
| "step": 226000 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "learning_rate": 0.00013834715217545625, | |
| "loss": 0.3058, | |
| "step": 227000 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "learning_rate": 0.000138218943713789, | |
| "loss": 0.3056, | |
| "step": 228000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 0.0001380900985790808, | |
| "loss": 0.3054, | |
| "step": 229000 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "learning_rate": 0.00013796061818036138, | |
| "loss": 0.3051, | |
| "step": 230000 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "eval_runtime": 1.0217, | |
| "eval_samples_per_second": 978.715, | |
| "eval_steps_per_second": 15.659, | |
| "step": 230000 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "learning_rate": 0.00013783050393360768, | |
| "loss": 0.3048, | |
| "step": 231000 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "learning_rate": 0.0001376997572617282, | |
| "loss": 0.305, | |
| "step": 232000 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "learning_rate": 0.00013756837959454766, | |
| "loss": 0.3042, | |
| "step": 233000 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "learning_rate": 0.0001374363723687911, | |
| "loss": 0.3042, | |
| "step": 234000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "learning_rate": 0.00013730373702806846, | |
| "loss": 0.304, | |
| "step": 235000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "eval_runtime": 1.0392, | |
| "eval_samples_per_second": 962.319, | |
| "eval_steps_per_second": 15.397, | |
| "step": 235000 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "learning_rate": 0.00013717047502285855, | |
| "loss": 0.3036, | |
| "step": 236000 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "learning_rate": 0.0001370365878104933, | |
| "loss": 0.3036, | |
| "step": 237000 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "learning_rate": 0.00013690207685514185, | |
| "loss": 0.3031, | |
| "step": 238000 | |
| }, | |
| { | |
| "epoch": 3.65, | |
| "learning_rate": 0.0001367669436277944, | |
| "loss": 0.3032, | |
| "step": 239000 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "learning_rate": 0.0001366311896062463, | |
| "loss": 0.3036, | |
| "step": 240000 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "eval_runtime": 1.0097, | |
| "eval_samples_per_second": 990.396, | |
| "eval_steps_per_second": 15.846, | |
| "step": 240000 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "learning_rate": 0.00013649481627508181, | |
| "loss": 0.3031, | |
| "step": 241000 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "learning_rate": 0.0001363578251256578, | |
| "loss": 0.3023, | |
| "step": 242000 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "learning_rate": 0.00013622021765608754, | |
| "loss": 0.3022, | |
| "step": 243000 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 0.00013608199537122425, | |
| "loss": 0.3017, | |
| "step": 244000 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "learning_rate": 0.0001359431597826447, | |
| "loss": 0.3019, | |
| "step": 245000 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "eval_runtime": 1.0744, | |
| "eval_samples_per_second": 930.717, | |
| "eval_steps_per_second": 14.891, | |
| "step": 245000 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "learning_rate": 0.0001358037124086327, | |
| "loss": 0.3015, | |
| "step": 246000 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "learning_rate": 0.00013566365477416233, | |
| "loss": 0.3018, | |
| "step": 247000 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 0.00013552298841088144, | |
| "loss": 0.3013, | |
| "step": 248000 | |
| }, | |
| { | |
| "epoch": 3.8, | |
| "learning_rate": 0.00013538171485709486, | |
| "loss": 0.3006, | |
| "step": 249000 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "learning_rate": 0.00013523983565774753, | |
| "loss": 0.3008, | |
| "step": 250000 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "eval_runtime": 1.0168, | |
| "eval_samples_per_second": 983.434, | |
| "eval_steps_per_second": 15.735, | |
| "step": 250000 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "learning_rate": 0.00013509735236440766, | |
| "loss": 0.3003, | |
| "step": 251000 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 0.00013495426653524972, | |
| "loss": 0.3, | |
| "step": 252000 | |
| }, | |
| { | |
| "epoch": 3.86, | |
| "learning_rate": 0.00013481057973503742, | |
| "loss": 0.3, | |
| "step": 253000 | |
| }, | |
| { | |
| "epoch": 3.88, | |
| "learning_rate": 0.00013466629353510651, | |
| "loss": 0.2997, | |
| "step": 254000 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 0.00013452140951334787, | |
| "loss": 0.2995, | |
| "step": 255000 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "eval_runtime": 0.8192, | |
| "eval_samples_per_second": 1220.744, | |
| "eval_steps_per_second": 19.532, | |
| "step": 255000 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 0.00013437592925418985, | |
| "loss": 0.2996, | |
| "step": 256000 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "learning_rate": 0.00013422985434858133, | |
| "loss": 0.299, | |
| "step": 257000 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 0.00013408318639397405, | |
| "loss": 0.2987, | |
| "step": 258000 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 0.00013393592699430525, | |
| "loss": 0.2986, | |
| "step": 259000 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "learning_rate": 0.00013378807775998012, | |
| "loss": 0.2984, | |
| "step": 260000 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "eval_runtime": 1.0461, | |
| "eval_samples_per_second": 955.963, | |
| "eval_steps_per_second": 15.295, | |
| "step": 260000 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "learning_rate": 0.00013363964030785422, | |
| "loss": 0.2983, | |
| "step": 261000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 0.00013349061626121578, | |
| "loss": 0.2982, | |
| "step": 262000 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "learning_rate": 0.00013334100724976783, | |
| "loss": 0.2977, | |
| "step": 263000 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "learning_rate": 0.0001331908149096106, | |
| "loss": 0.2976, | |
| "step": 264000 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "learning_rate": 0.00013304004088322342, | |
| "loss": 0.2978, | |
| "step": 265000 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "eval_runtime": 1.0225, | |
| "eval_samples_per_second": 978.001, | |
| "eval_steps_per_second": 15.648, | |
| "step": 265000 | |
| }, | |
| { | |
| "epoch": 4.06, | |
| "learning_rate": 0.00013288868681944692, | |
| "loss": 0.2971, | |
| "step": 266000 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "learning_rate": 0.00013273675437346487, | |
| "loss": 0.2972, | |
| "step": 267000 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "learning_rate": 0.00013258424520678618, | |
| "loss": 0.2969, | |
| "step": 268000 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "learning_rate": 0.00013243116098722663, | |
| "loss": 0.2968, | |
| "step": 269000 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "learning_rate": 0.00013227750338889077, | |
| "loss": 0.2966, | |
| "step": 270000 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "eval_runtime": 1.1084, | |
| "eval_samples_per_second": 902.192, | |
| "eval_steps_per_second": 14.435, | |
| "step": 270000 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "learning_rate": 0.00013212327409215343, | |
| "loss": 0.296, | |
| "step": 271000 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 0.0001319684747836415, | |
| "loss": 0.2958, | |
| "step": 272000 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "learning_rate": 0.0001318131071562154, | |
| "loss": 0.2961, | |
| "step": 273000 | |
| }, | |
| { | |
| "epoch": 4.18, | |
| "learning_rate": 0.00013165717290895067, | |
| "loss": 0.2957, | |
| "step": 274000 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "learning_rate": 0.0001315006737471192, | |
| "loss": 0.2955, | |
| "step": 275000 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "eval_runtime": 1.0552, | |
| "eval_samples_per_second": 947.654, | |
| "eval_steps_per_second": 15.162, | |
| "step": 275000 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "learning_rate": 0.0001313436113821708, | |
| "loss": 0.2952, | |
| "step": 276000 | |
| }, | |
| { | |
| "epoch": 4.23, | |
| "learning_rate": 0.00013118598753171425, | |
| "loss": 0.2951, | |
| "step": 277000 | |
| }, | |
| { | |
| "epoch": 4.25, | |
| "learning_rate": 0.0001310278039194988, | |
| "loss": 0.2951, | |
| "step": 278000 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "learning_rate": 0.00013086906227539506, | |
| "loss": 0.2952, | |
| "step": 279000 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "learning_rate": 0.00013070976433537623, | |
| "loss": 0.2946, | |
| "step": 280000 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "eval_runtime": 1.0293, | |
| "eval_samples_per_second": 971.532, | |
| "eval_steps_per_second": 15.545, | |
| "step": 280000 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "learning_rate": 0.00013054991184149905, | |
| "loss": 0.2946, | |
| "step": 281000 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 0.00013038950654188476, | |
| "loss": 0.2942, | |
| "step": 282000 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 0.00013022855019070005, | |
| "loss": 0.2941, | |
| "step": 283000 | |
| }, | |
| { | |
| "epoch": 4.34, | |
| "learning_rate": 0.0001300670445481378, | |
| "loss": 0.2937, | |
| "step": 284000 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "learning_rate": 0.0001299049913803978, | |
| "loss": 0.2937, | |
| "step": 285000 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "eval_runtime": 1.0469, | |
| "eval_samples_per_second": 955.197, | |
| "eval_steps_per_second": 15.283, | |
| "step": 285000 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "learning_rate": 0.00012974239245966754, | |
| "loss": 0.2934, | |
| "step": 286000 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "learning_rate": 0.0001295792495641028, | |
| "loss": 0.2962, | |
| "step": 287000 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "learning_rate": 0.00012941556447780813, | |
| "loss": 0.2931, | |
| "step": 288000 | |
| }, | |
| { | |
| "epoch": 4.41, | |
| "learning_rate": 0.0001292513389908174, | |
| "loss": 0.2931, | |
| "step": 289000 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "learning_rate": 0.0001290865748990742, | |
| "loss": 0.2932, | |
| "step": 290000 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "eval_runtime": 1.0143, | |
| "eval_samples_per_second": 985.898, | |
| "eval_steps_per_second": 15.774, | |
| "step": 290000 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 0.00012892127400441228, | |
| "loss": 0.2923, | |
| "step": 291000 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "learning_rate": 0.00012875543811453576, | |
| "loss": 0.2919, | |
| "step": 292000 | |
| }, | |
| { | |
| "epoch": 4.47, | |
| "learning_rate": 0.0001285890690429993, | |
| "loss": 0.2931, | |
| "step": 293000 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "learning_rate": 0.00012842216860918846, | |
| "loss": 0.292, | |
| "step": 294000 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 0.0001282547386382996, | |
| "loss": 0.2914, | |
| "step": 295000 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "eval_runtime": 1.0329, | |
| "eval_samples_per_second": 968.135, | |
| "eval_steps_per_second": 15.49, | |
| "step": 295000 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "learning_rate": 0.0001280867809613201, | |
| "loss": 0.2919, | |
| "step": 296000 | |
| }, | |
| { | |
| "epoch": 4.54, | |
| "learning_rate": 0.0001279182974150082, | |
| "loss": 0.2915, | |
| "step": 297000 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 0.00012774928984187297, | |
| "loss": 0.2914, | |
| "step": 298000 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "learning_rate": 0.00012757976009015413, | |
| "loss": 0.2908, | |
| "step": 299000 | |
| }, | |
| { | |
| "epoch": 4.58, | |
| "learning_rate": 0.0001274097100138019, | |
| "loss": 0.2909, | |
| "step": 300000 | |
| }, | |
| { | |
| "epoch": 4.58, | |
| "eval_runtime": 1.0054, | |
| "eval_samples_per_second": 994.612, | |
| "eval_steps_per_second": 15.914, | |
| "step": 300000 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "learning_rate": 0.00012723914147245663, | |
| "loss": 0.2906, | |
| "step": 301000 | |
| }, | |
| { | |
| "epoch": 4.61, | |
| "learning_rate": 0.00012706805633142863, | |
| "loss": 0.2906, | |
| "step": 302000 | |
| }, | |
| { | |
| "epoch": 4.63, | |
| "learning_rate": 0.00012689645646167755, | |
| "loss": 0.2902, | |
| "step": 303000 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "learning_rate": 0.00012672434373979207, | |
| "loss": 0.291, | |
| "step": 304000 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "learning_rate": 0.00012655172004796936, | |
| "loss": 0.2899, | |
| "step": 305000 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "eval_runtime": 1.0975, | |
| "eval_samples_per_second": 911.158, | |
| "eval_steps_per_second": 14.579, | |
| "step": 305000 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "learning_rate": 0.00012637858727399448, | |
| "loss": 0.2898, | |
| "step": 306000 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 0.00012620494731121966, | |
| "loss": 0.2896, | |
| "step": 307000 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "learning_rate": 0.00012603080205854372, | |
| "loss": 0.2894, | |
| "step": 308000 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "learning_rate": 0.00012585615342039126, | |
| "loss": 0.2894, | |
| "step": 309000 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "learning_rate": 0.0001256810033066918, | |
| "loss": 0.2894, | |
| "step": 310000 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "eval_runtime": 1.0481, | |
| "eval_samples_per_second": 954.11, | |
| "eval_steps_per_second": 15.266, | |
| "step": 310000 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "learning_rate": 0.0001255053536328589, | |
| "loss": 0.2887, | |
| "step": 311000 | |
| }, | |
| { | |
| "epoch": 4.76, | |
| "learning_rate": 0.0001253292063197693, | |
| "loss": 0.2887, | |
| "step": 312000 | |
| }, | |
| { | |
| "epoch": 4.78, | |
| "learning_rate": 0.0001251525632937418, | |
| "loss": 0.2886, | |
| "step": 313000 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "learning_rate": 0.00012497542648651615, | |
| "loss": 0.2887, | |
| "step": 314000 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "learning_rate": 0.00012479779783523216, | |
| "loss": 0.2883, | |
| "step": 315000 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "eval_runtime": 1.0333, | |
| "eval_samples_per_second": 967.804, | |
| "eval_steps_per_second": 15.485, | |
| "step": 315000 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "learning_rate": 0.00012461967928240828, | |
| "loss": 0.2883, | |
| "step": 316000 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "learning_rate": 0.00012444107277592047, | |
| "loss": 0.2877, | |
| "step": 317000 | |
| }, | |
| { | |
| "epoch": 4.86, | |
| "learning_rate": 0.0001242619802689809, | |
| "loss": 0.2879, | |
| "step": 318000 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "learning_rate": 0.00012408240372011647, | |
| "loss": 0.2876, | |
| "step": 319000 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "learning_rate": 0.0001239023450931476, | |
| "loss": 0.2874, | |
| "step": 320000 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "eval_runtime": 1.04, | |
| "eval_samples_per_second": 961.537, | |
| "eval_steps_per_second": 15.385, | |
| "step": 320000 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "learning_rate": 0.00012372180635716656, | |
| "loss": 0.2874, | |
| "step": 321000 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "learning_rate": 0.00012354078948651604, | |
| "loss": 0.2873, | |
| "step": 322000 | |
| }, | |
| { | |
| "epoch": 4.93, | |
| "learning_rate": 0.00012335929646076758, | |
| "loss": 0.2868, | |
| "step": 323000 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "learning_rate": 0.00012317732926469976, | |
| "loss": 0.2871, | |
| "step": 324000 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "learning_rate": 0.00012299488988827675, | |
| "loss": 0.2869, | |
| "step": 325000 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "eval_runtime": 1.3977, | |
| "eval_samples_per_second": 715.452, | |
| "eval_steps_per_second": 11.447, | |
| "step": 325000 | |
| }, | |
| { | |
| "epoch": 4.98, | |
| "learning_rate": 0.0001228119803266263, | |
| "loss": 0.2867, | |
| "step": 326000 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "learning_rate": 0.0001226286025800181, | |
| "loss": 0.2866, | |
| "step": 327000 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "learning_rate": 0.00012244475865384177, | |
| "loss": 0.2862, | |
| "step": 328000 | |
| }, | |
| { | |
| "epoch": 5.02, | |
| "learning_rate": 0.00012226045055858505, | |
| "loss": 0.2858, | |
| "step": 329000 | |
| }, | |
| { | |
| "epoch": 5.04, | |
| "learning_rate": 0.00012207568030981174, | |
| "loss": 0.2859, | |
| "step": 330000 | |
| }, | |
| { | |
| "epoch": 5.04, | |
| "eval_runtime": 1.1314, | |
| "eval_samples_per_second": 883.862, | |
| "eval_steps_per_second": 14.142, | |
| "step": 330000 | |
| }, | |
| { | |
| "epoch": 5.05, | |
| "learning_rate": 0.00012189044992813972, | |
| "loss": 0.2858, | |
| "step": 331000 | |
| }, | |
| { | |
| "epoch": 5.07, | |
| "learning_rate": 0.0001217047614392187, | |
| "loss": 0.2857, | |
| "step": 332000 | |
| }, | |
| { | |
| "epoch": 5.08, | |
| "learning_rate": 0.00012151861687370828, | |
| "loss": 0.2857, | |
| "step": 333000 | |
| }, | |
| { | |
| "epoch": 5.1, | |
| "learning_rate": 0.00012133201826725558, | |
| "loss": 0.2852, | |
| "step": 334000 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "learning_rate": 0.0001211449676604731, | |
| "loss": 0.2853, | |
| "step": 335000 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "eval_runtime": 1.3419, | |
| "eval_samples_per_second": 745.216, | |
| "eval_steps_per_second": 11.923, | |
| "step": 335000 | |
| }, | |
| { | |
| "epoch": 5.13, | |
| "learning_rate": 0.00012095746709891632, | |
| "loss": 0.2852, | |
| "step": 336000 | |
| }, | |
| { | |
| "epoch": 5.15, | |
| "learning_rate": 0.00012076951863306127, | |
| "loss": 0.285, | |
| "step": 337000 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "learning_rate": 0.0001205811243182823, | |
| "loss": 0.2848, | |
| "step": 338000 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "learning_rate": 0.00012039228621482949, | |
| "loss": 0.2858, | |
| "step": 339000 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "learning_rate": 0.00012020300638780604, | |
| "loss": 0.2845, | |
| "step": 340000 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "eval_runtime": 1.2559, | |
| "eval_samples_per_second": 796.26, | |
| "eval_steps_per_second": 12.74, | |
| "step": 340000 | |
| }, | |
| { | |
| "epoch": 5.21, | |
| "learning_rate": 0.00012001328690714582, | |
| "loss": 0.284, | |
| "step": 341000 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "learning_rate": 0.00011982312984759068, | |
| "loss": 0.2845, | |
| "step": 342000 | |
| }, | |
| { | |
| "epoch": 5.24, | |
| "learning_rate": 0.00011963253728866778, | |
| "loss": 0.2841, | |
| "step": 343000 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "learning_rate": 0.00011944151131466675, | |
| "loss": 0.284, | |
| "step": 344000 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "learning_rate": 0.00011925005401461709, | |
| "loss": 0.2836, | |
| "step": 345000 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "eval_runtime": 1.1037, | |
| "eval_samples_per_second": 906.031, | |
| "eval_steps_per_second": 14.496, | |
| "step": 345000 | |
| }, | |
| { | |
| "epoch": 5.28, | |
| "learning_rate": 0.00011905816748226513, | |
| "loss": 0.2834, | |
| "step": 346000 | |
| }, | |
| { | |
| "epoch": 5.3, | |
| "learning_rate": 0.00011886585381605125, | |
| "loss": 0.2835, | |
| "step": 347000 | |
| }, | |
| { | |
| "epoch": 5.31, | |
| "learning_rate": 0.00011867311511908693, | |
| "loss": 0.2832, | |
| "step": 348000 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "learning_rate": 0.00011847995349913162, | |
| "loss": 0.2828, | |
| "step": 349000 | |
| }, | |
| { | |
| "epoch": 5.34, | |
| "learning_rate": 0.00011828637106856989, | |
| "loss": 0.2828, | |
| "step": 350000 | |
| }, | |
| { | |
| "epoch": 5.34, | |
| "eval_runtime": 1.0295, | |
| "eval_samples_per_second": 971.32, | |
| "eval_steps_per_second": 15.541, | |
| "step": 350000 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "learning_rate": 0.00011809236994438816, | |
| "loss": 0.2831, | |
| "step": 351000 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "learning_rate": 0.00011789795224815164, | |
| "loss": 0.2827, | |
| "step": 352000 | |
| }, | |
| { | |
| "epoch": 5.39, | |
| "learning_rate": 0.00011770312010598116, | |
| "loss": 0.282, | |
| "step": 353000 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "learning_rate": 0.00011750787564852973, | |
| "loss": 0.2822, | |
| "step": 354000 | |
| }, | |
| { | |
| "epoch": 5.42, | |
| "learning_rate": 0.00011731222101095955, | |
| "loss": 0.2825, | |
| "step": 355000 | |
| }, | |
| { | |
| "epoch": 5.42, | |
| "eval_runtime": 1.0697, | |
| "eval_samples_per_second": 934.885, | |
| "eval_steps_per_second": 14.958, | |
| "step": 355000 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "learning_rate": 0.00011711615833291833, | |
| "loss": 0.2822, | |
| "step": 356000 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "learning_rate": 0.0001169196897585161, | |
| "loss": 0.2824, | |
| "step": 357000 | |
| }, | |
| { | |
| "epoch": 5.47, | |
| "learning_rate": 0.00011672281743630175, | |
| "loss": 0.2818, | |
| "step": 358000 | |
| }, | |
| { | |
| "epoch": 5.48, | |
| "learning_rate": 0.0001165255435192394, | |
| "loss": 0.2815, | |
| "step": 359000 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 0.00011632787016468506, | |
| "loss": 0.2819, | |
| "step": 360000 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "eval_runtime": 1.1008, | |
| "eval_samples_per_second": 908.433, | |
| "eval_steps_per_second": 14.535, | |
| "step": 360000 | |
| }, | |
| { | |
| "epoch": 5.51, | |
| "learning_rate": 0.0001161297995343628, | |
| "loss": 0.2815, | |
| "step": 361000 | |
| }, | |
| { | |
| "epoch": 5.53, | |
| "learning_rate": 0.00011593133379434138, | |
| "loss": 0.2815, | |
| "step": 362000 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "learning_rate": 0.00011573247511501028, | |
| "loss": 0.2811, | |
| "step": 363000 | |
| }, | |
| { | |
| "epoch": 5.56, | |
| "learning_rate": 0.00011553322567105619, | |
| "loss": 0.2807, | |
| "step": 364000 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "learning_rate": 0.00011533358764143905, | |
| "loss": 0.2808, | |
| "step": 365000 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "eval_runtime": 1.1301, | |
| "eval_samples_per_second": 884.842, | |
| "eval_steps_per_second": 14.157, | |
| "step": 365000 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "learning_rate": 0.00011513356320936841, | |
| "loss": 0.2808, | |
| "step": 366000 | |
| }, | |
| { | |
| "epoch": 5.6, | |
| "learning_rate": 0.00011493315456227943, | |
| "loss": 0.2817, | |
| "step": 367000 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "learning_rate": 0.00011473236389180894, | |
| "loss": 0.2803, | |
| "step": 368000 | |
| }, | |
| { | |
| "epoch": 5.63, | |
| "learning_rate": 0.00011453119339377154, | |
| "loss": 0.2803, | |
| "step": 369000 | |
| }, | |
| { | |
| "epoch": 5.65, | |
| "learning_rate": 0.00011432964526813558, | |
| "loss": 0.2817, | |
| "step": 370000 | |
| }, | |
| { | |
| "epoch": 5.65, | |
| "eval_runtime": 1.2187, | |
| "eval_samples_per_second": 820.56, | |
| "eval_steps_per_second": 13.129, | |
| "step": 370000 | |
| }, | |
| { | |
| "epoch": 5.67, | |
| "learning_rate": 0.00011412772171899904, | |
| "loss": 0.2819, | |
| "step": 371000 | |
| }, | |
| { | |
| "epoch": 5.68, | |
| "learning_rate": 0.00011392542495456556, | |
| "loss": 0.28, | |
| "step": 372000 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "learning_rate": 0.00011372275718712006, | |
| "loss": 0.2797, | |
| "step": 373000 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 0.00011351972063300484, | |
| "loss": 0.2797, | |
| "step": 374000 | |
| }, | |
| { | |
| "epoch": 5.73, | |
| "learning_rate": 0.00011331631751259515, | |
| "loss": 0.2801, | |
| "step": 375000 | |
| }, | |
| { | |
| "epoch": 5.73, | |
| "eval_runtime": 1.0146, | |
| "eval_samples_per_second": 985.631, | |
| "eval_steps_per_second": 15.77, | |
| "step": 375000 | |
| }, | |
| { | |
| "epoch": 5.74, | |
| "learning_rate": 0.00011311255005027487, | |
| "loss": 0.2789, | |
| "step": 376000 | |
| }, | |
| { | |
| "epoch": 5.76, | |
| "learning_rate": 0.00011290842047441232, | |
| "loss": 0.2791, | |
| "step": 377000 | |
| }, | |
| { | |
| "epoch": 5.77, | |
| "learning_rate": 0.00011270393101733585, | |
| "loss": 0.279, | |
| "step": 378000 | |
| }, | |
| { | |
| "epoch": 5.79, | |
| "learning_rate": 0.00011249908391530946, | |
| "loss": 0.279, | |
| "step": 379000 | |
| }, | |
| { | |
| "epoch": 5.8, | |
| "learning_rate": 0.00011229388140850814, | |
| "loss": 0.279, | |
| "step": 380000 | |
| }, | |
| { | |
| "epoch": 5.8, | |
| "eval_runtime": 1.2375, | |
| "eval_samples_per_second": 808.112, | |
| "eval_steps_per_second": 12.93, | |
| "step": 380000 | |
| }, | |
| { | |
| "epoch": 5.82, | |
| "learning_rate": 0.00011208832574099368, | |
| "loss": 0.2788, | |
| "step": 381000 | |
| }, | |
| { | |
| "epoch": 5.83, | |
| "learning_rate": 0.00011188241916068993, | |
| "loss": 0.2785, | |
| "step": 382000 | |
| }, | |
| { | |
| "epoch": 5.85, | |
| "learning_rate": 0.00011167616391935826, | |
| "loss": 0.2783, | |
| "step": 383000 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "learning_rate": 0.00011146956227257293, | |
| "loss": 0.2785, | |
| "step": 384000 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "learning_rate": 0.00011126261647969645, | |
| "loss": 0.2781, | |
| "step": 385000 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "eval_runtime": 1.0191, | |
| "eval_samples_per_second": 981.273, | |
| "eval_steps_per_second": 15.7, | |
| "step": 385000 | |
| }, | |
| { | |
| "epoch": 5.89, | |
| "learning_rate": 0.00011105532880385487, | |
| "loss": 0.2782, | |
| "step": 386000 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "learning_rate": 0.00011084770151191299, | |
| "loss": 0.2782, | |
| "step": 387000 | |
| }, | |
| { | |
| "epoch": 5.92, | |
| "learning_rate": 0.00011063973687444962, | |
| "loss": 0.2779, | |
| "step": 388000 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "learning_rate": 0.00011043143716573272, | |
| "loss": 0.2774, | |
| "step": 389000 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "learning_rate": 0.00011022280466369448, | |
| "loss": 0.2776, | |
| "step": 390000 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "eval_runtime": 1.0236, | |
| "eval_samples_per_second": 976.954, | |
| "eval_steps_per_second": 15.631, | |
| "step": 390000 | |
| }, | |
| { | |
| "epoch": 5.97, | |
| "learning_rate": 0.00011001384164990662, | |
| "loss": 0.2775, | |
| "step": 391000 | |
| }, | |
| { | |
| "epoch": 5.99, | |
| "learning_rate": 0.00010980455040955506, | |
| "loss": 0.2769, | |
| "step": 392000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 0.00010959493323141538, | |
| "loss": 0.2773, | |
| "step": 393000 | |
| }, | |
| { | |
| "epoch": 6.02, | |
| "learning_rate": 0.00010938499240782739, | |
| "loss": 0.277, | |
| "step": 394000 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "learning_rate": 0.00010917473023467032, | |
| "loss": 0.277, | |
| "step": 395000 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "eval_runtime": 1.0769, | |
| "eval_samples_per_second": 928.59, | |
| "eval_steps_per_second": 14.857, | |
| "step": 395000 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "learning_rate": 0.00010896414901133761, | |
| "loss": 0.2766, | |
| "step": 396000 | |
| }, | |
| { | |
| "epoch": 6.06, | |
| "learning_rate": 0.00010875325104071177, | |
| "loss": 0.2768, | |
| "step": 397000 | |
| }, | |
| { | |
| "epoch": 6.08, | |
| "learning_rate": 0.00010854203862913927, | |
| "loss": 0.2765, | |
| "step": 398000 | |
| }, | |
| { | |
| "epoch": 6.09, | |
| "learning_rate": 0.00010833051408640509, | |
| "loss": 0.2763, | |
| "step": 399000 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "learning_rate": 0.00010811867972570786, | |
| "loss": 0.2767, | |
| "step": 400000 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "eval_runtime": 1.1081, | |
| "eval_samples_per_second": 902.417, | |
| "eval_steps_per_second": 14.439, | |
| "step": 400000 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "learning_rate": 0.00010790653786363416, | |
| "loss": 0.2759, | |
| "step": 401000 | |
| }, | |
| { | |
| "epoch": 6.14, | |
| "learning_rate": 0.00010769409082013337, | |
| "loss": 0.2759, | |
| "step": 402000 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "learning_rate": 0.00010748134091849238, | |
| "loss": 0.2757, | |
| "step": 403000 | |
| }, | |
| { | |
| "epoch": 6.17, | |
| "learning_rate": 0.00010726829048531, | |
| "loss": 0.2762, | |
| "step": 404000 | |
| }, | |
| { | |
| "epoch": 6.18, | |
| "learning_rate": 0.00010705494185047165, | |
| "loss": 0.276, | |
| "step": 405000 | |
| }, | |
| { | |
| "epoch": 6.18, | |
| "eval_runtime": 1.1676, | |
| "eval_samples_per_second": 856.476, | |
| "eval_steps_per_second": 13.704, | |
| "step": 405000 | |
| }, | |
| { | |
| "epoch": 6.2, | |
| "learning_rate": 0.0001068412973471238, | |
| "loss": 0.2754, | |
| "step": 406000 | |
| }, | |
| { | |
| "epoch": 6.21, | |
| "learning_rate": 0.00010662735931164853, | |
| "loss": 0.2755, | |
| "step": 407000 | |
| }, | |
| { | |
| "epoch": 6.23, | |
| "learning_rate": 0.0001064131300836379, | |
| "loss": 0.2752, | |
| "step": 408000 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "learning_rate": 0.0001061986120058684, | |
| "loss": 0.2748, | |
| "step": 409000 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "learning_rate": 0.00010598380742427543, | |
| "loss": 0.2749, | |
| "step": 410000 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "eval_runtime": 1.0797, | |
| "eval_samples_per_second": 926.22, | |
| "eval_steps_per_second": 14.82, | |
| "step": 410000 | |
| }, | |
| { | |
| "epoch": 6.28, | |
| "learning_rate": 0.00010576871868792746, | |
| "loss": 0.275, | |
| "step": 411000 | |
| }, | |
| { | |
| "epoch": 6.29, | |
| "learning_rate": 0.0001055533481490004, | |
| "loss": 0.2746, | |
| "step": 412000 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "learning_rate": 0.000105337698162752, | |
| "loss": 0.2741, | |
| "step": 413000 | |
| }, | |
| { | |
| "epoch": 6.32, | |
| "learning_rate": 0.00010512177108749594, | |
| "loss": 0.2746, | |
| "step": 414000 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "learning_rate": 0.00010490556928457616, | |
| "loss": 0.2743, | |
| "step": 415000 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "eval_runtime": 1.0107, | |
| "eval_samples_per_second": 989.389, | |
| "eval_steps_per_second": 15.83, | |
| "step": 415000 | |
| }, | |
| { | |
| "epoch": 6.35, | |
| "learning_rate": 0.00010468909511834088, | |
| "loss": 0.2741, | |
| "step": 416000 | |
| }, | |
| { | |
| "epoch": 6.37, | |
| "learning_rate": 0.00010447235095611692, | |
| "loss": 0.2738, | |
| "step": 417000 | |
| }, | |
| { | |
| "epoch": 6.38, | |
| "learning_rate": 0.00010425533916818376, | |
| "loss": 0.2738, | |
| "step": 418000 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "learning_rate": 0.00010403806212774747, | |
| "loss": 0.2742, | |
| "step": 419000 | |
| }, | |
| { | |
| "epoch": 6.41, | |
| "learning_rate": 0.000103820522210915, | |
| "loss": 0.2737, | |
| "step": 420000 | |
| }, | |
| { | |
| "epoch": 6.41, | |
| "eval_runtime": 1.055, | |
| "eval_samples_per_second": 947.861, | |
| "eval_steps_per_second": 15.166, | |
| "step": 420000 | |
| }, | |
| { | |
| "epoch": 6.43, | |
| "learning_rate": 0.00010360272179666802, | |
| "loss": 0.2742, | |
| "step": 421000 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "learning_rate": 0.00010338466326683697, | |
| "loss": 0.2733, | |
| "step": 422000 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "learning_rate": 0.00010316634900607497, | |
| "loss": 0.2737, | |
| "step": 423000 | |
| }, | |
| { | |
| "epoch": 6.47, | |
| "learning_rate": 0.00010294778140183182, | |
| "loss": 0.2732, | |
| "step": 424000 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "learning_rate": 0.00010272896284432785, | |
| "loss": 0.2733, | |
| "step": 425000 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "eval_runtime": 1.0035, | |
| "eval_samples_per_second": 996.544, | |
| "eval_steps_per_second": 15.945, | |
| "step": 425000 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "learning_rate": 0.00010250989572652766, | |
| "loss": 0.2728, | |
| "step": 426000 | |
| }, | |
| { | |
| "epoch": 6.52, | |
| "learning_rate": 0.00010229058244411427, | |
| "loss": 0.2729, | |
| "step": 427000 | |
| }, | |
| { | |
| "epoch": 6.54, | |
| "learning_rate": 0.00010207102539546251, | |
| "loss": 0.2728, | |
| "step": 428000 | |
| }, | |
| { | |
| "epoch": 6.55, | |
| "learning_rate": 0.00010185122698161311, | |
| "loss": 0.2726, | |
| "step": 429000 | |
| }, | |
| { | |
| "epoch": 6.57, | |
| "learning_rate": 0.00010163118960624632, | |
| "loss": 0.2725, | |
| "step": 430000 | |
| }, | |
| { | |
| "epoch": 6.57, | |
| "eval_runtime": 1.0983, | |
| "eval_samples_per_second": 910.508, | |
| "eval_steps_per_second": 14.568, | |
| "step": 430000 | |
| }, | |
| { | |
| "epoch": 6.58, | |
| "learning_rate": 0.00010141091567565561, | |
| "loss": 0.2727, | |
| "step": 431000 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "learning_rate": 0.00010119040759872142, | |
| "loss": 0.2725, | |
| "step": 432000 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "learning_rate": 0.00010096966778688472, | |
| "loss": 0.2721, | |
| "step": 433000 | |
| }, | |
| { | |
| "epoch": 6.63, | |
| "learning_rate": 0.00010074869865412074, | |
| "loss": 0.272, | |
| "step": 434000 | |
| }, | |
| { | |
| "epoch": 6.64, | |
| "learning_rate": 0.00010052750261691254, | |
| "loss": 0.2721, | |
| "step": 435000 | |
| }, | |
| { | |
| "epoch": 6.64, | |
| "eval_runtime": 0.9895, | |
| "eval_samples_per_second": 1010.612, | |
| "eval_steps_per_second": 16.17, | |
| "step": 435000 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "learning_rate": 0.0001003060820942245, | |
| "loss": 0.2716, | |
| "step": 436000 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "learning_rate": 0.00010008443950747599, | |
| "loss": 0.2716, | |
| "step": 437000 | |
| }, | |
| { | |
| "epoch": 6.69, | |
| "learning_rate": 9.986257728051483e-05, | |
| "loss": 0.2717, | |
| "step": 438000 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "learning_rate": 9.964049783959082e-05, | |
| "loss": 0.2716, | |
| "step": 439000 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "learning_rate": 9.94182036133291e-05, | |
| "loss": 0.2715, | |
| "step": 440000 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "eval_runtime": 1.0245, | |
| "eval_samples_per_second": 976.131, | |
| "eval_steps_per_second": 15.618, | |
| "step": 440000 | |
| }, | |
| { | |
| "epoch": 6.73, | |
| "learning_rate": 9.919569703270376e-05, | |
| "loss": 0.2716, | |
| "step": 441000 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "learning_rate": 9.89729805310111e-05, | |
| "loss": 0.2711, | |
| "step": 442000 | |
| }, | |
| { | |
| "epoch": 6.76, | |
| "learning_rate": 9.875005654384307e-05, | |
| "loss": 0.2712, | |
| "step": 443000 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "learning_rate": 9.852692750906071e-05, | |
| "loss": 0.2717, | |
| "step": 444000 | |
| }, | |
| { | |
| "epoch": 6.8, | |
| "learning_rate": 9.830359586676737e-05, | |
| "loss": 0.2722, | |
| "step": 445000 | |
| }, | |
| { | |
| "epoch": 6.8, | |
| "eval_runtime": 1.1145, | |
| "eval_samples_per_second": 897.295, | |
| "eval_steps_per_second": 14.357, | |
| "step": 445000 | |
| }, | |
| { | |
| "epoch": 6.81, | |
| "learning_rate": 9.808006405928215e-05, | |
| "loss": 0.2703, | |
| "step": 446000 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "learning_rate": 9.785633453111306e-05, | |
| "loss": 0.2705, | |
| "step": 447000 | |
| }, | |
| { | |
| "epoch": 6.84, | |
| "learning_rate": 9.763240972893037e-05, | |
| "loss": 0.27, | |
| "step": 448000 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "learning_rate": 9.740829210153984e-05, | |
| "loss": 0.2703, | |
| "step": 449000 | |
| }, | |
| { | |
| "epoch": 6.87, | |
| "learning_rate": 9.718398409985593e-05, | |
| "loss": 0.27, | |
| "step": 450000 | |
| }, | |
| { | |
| "epoch": 6.87, | |
| "eval_runtime": 0.9938, | |
| "eval_samples_per_second": 1006.215, | |
| "eval_steps_per_second": 16.099, | |
| "step": 450000 | |
| }, | |
| { | |
| "epoch": 6.89, | |
| "learning_rate": 9.695948817687504e-05, | |
| "loss": 0.2699, | |
| "step": 451000 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "learning_rate": 9.673480678764858e-05, | |
| "loss": 0.2698, | |
| "step": 452000 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "learning_rate": 9.650994238925626e-05, | |
| "loss": 0.2699, | |
| "step": 453000 | |
| }, | |
| { | |
| "epoch": 6.93, | |
| "learning_rate": 9.628489744077911e-05, | |
| "loss": 0.2696, | |
| "step": 454000 | |
| }, | |
| { | |
| "epoch": 6.95, | |
| "learning_rate": 9.60596744032726e-05, | |
| "loss": 0.2699, | |
| "step": 455000 | |
| }, | |
| { | |
| "epoch": 6.95, | |
| "eval_runtime": 1.0008, | |
| "eval_samples_per_second": 999.165, | |
| "eval_steps_per_second": 15.987, | |
| "step": 455000 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "learning_rate": 9.583427573973982e-05, | |
| "loss": 0.2696, | |
| "step": 456000 | |
| }, | |
| { | |
| "epoch": 6.98, | |
| "learning_rate": 9.560870391510441e-05, | |
| "loss": 0.2695, | |
| "step": 457000 | |
| }, | |
| { | |
| "epoch": 6.99, | |
| "learning_rate": 9.538296139618371e-05, | |
| "loss": 0.2691, | |
| "step": 458000 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "learning_rate": 9.515705065166178e-05, | |
| "loss": 0.2693, | |
| "step": 459000 | |
| }, | |
| { | |
| "epoch": 7.02, | |
| "learning_rate": 9.493097415206228e-05, | |
| "loss": 0.2688, | |
| "step": 460000 | |
| }, | |
| { | |
| "epoch": 7.02, | |
| "eval_runtime": 1.0225, | |
| "eval_samples_per_second": 978.034, | |
| "eval_steps_per_second": 15.649, | |
| "step": 460000 | |
| } | |
| ], | |
| "max_steps": 1000000, | |
| "num_train_epochs": 16, | |
| "total_flos": 3.2246074079189274e+22, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |