| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 5.0, | |
| "global_step": 49420, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 4.896398219344395e-05, | |
| "loss": 0.2574, | |
| "step": 1024 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_loss": 0.7888669967651367, | |
| "eval_runtime": 25.6574, | |
| "eval_samples_per_second": 81.536, | |
| "eval_steps_per_second": 3.43, | |
| "step": 1024 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 4.79279643868879e-05, | |
| "loss": 0.2633, | |
| "step": 2048 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "eval_loss": 0.780219316482544, | |
| "eval_runtime": 25.6023, | |
| "eval_samples_per_second": 81.711, | |
| "eval_steps_per_second": 3.437, | |
| "step": 2048 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 4.6891946580331854e-05, | |
| "loss": 0.2635, | |
| "step": 3072 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "eval_loss": 0.7877150774002075, | |
| "eval_runtime": 25.6162, | |
| "eval_samples_per_second": 81.667, | |
| "eval_steps_per_second": 3.435, | |
| "step": 3072 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 4.5855928773775804e-05, | |
| "loss": 0.2639, | |
| "step": 4096 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_loss": 0.7751328945159912, | |
| "eval_runtime": 25.6157, | |
| "eval_samples_per_second": 81.669, | |
| "eval_steps_per_second": 3.435, | |
| "step": 4096 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 4.4819910967219755e-05, | |
| "loss": 0.2625, | |
| "step": 5120 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "eval_loss": 0.7836451530456543, | |
| "eval_runtime": 25.6812, | |
| "eval_samples_per_second": 81.46, | |
| "eval_steps_per_second": 3.427, | |
| "step": 5120 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 4.3783893160663705e-05, | |
| "loss": 0.2609, | |
| "step": 6144 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_loss": 0.7758111357688904, | |
| "eval_runtime": 25.6349, | |
| "eval_samples_per_second": 81.607, | |
| "eval_steps_per_second": 3.433, | |
| "step": 6144 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.2747875354107656e-05, | |
| "loss": 0.2597, | |
| "step": 7168 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_loss": 0.7923067212104797, | |
| "eval_runtime": 25.6218, | |
| "eval_samples_per_second": 81.649, | |
| "eval_steps_per_second": 3.435, | |
| "step": 7168 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 4.17118575475516e-05, | |
| "loss": 0.2612, | |
| "step": 8192 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "eval_loss": 0.8000349402427673, | |
| "eval_runtime": 25.646, | |
| "eval_samples_per_second": 81.572, | |
| "eval_steps_per_second": 3.431, | |
| "step": 8192 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 4.0676851477134767e-05, | |
| "loss": 0.2612, | |
| "step": 9216 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "eval_loss": 0.7934667468070984, | |
| "eval_runtime": 25.6816, | |
| "eval_samples_per_second": 81.459, | |
| "eval_steps_per_second": 3.427, | |
| "step": 9216 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 3.964083367057872e-05, | |
| "loss": 0.2554, | |
| "step": 10240 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "eval_loss": 0.7942602038383484, | |
| "eval_runtime": 25.7479, | |
| "eval_samples_per_second": 81.249, | |
| "eval_steps_per_second": 3.418, | |
| "step": 10240 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 3.860481586402267e-05, | |
| "loss": 0.2524, | |
| "step": 11264 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_loss": 0.8014633655548096, | |
| "eval_runtime": 25.6355, | |
| "eval_samples_per_second": 81.606, | |
| "eval_steps_per_second": 3.433, | |
| "step": 11264 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 3.7569809793605834e-05, | |
| "loss": 0.2504, | |
| "step": 12288 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "eval_loss": 0.7962351441383362, | |
| "eval_runtime": 25.6019, | |
| "eval_samples_per_second": 81.713, | |
| "eval_steps_per_second": 3.437, | |
| "step": 12288 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "learning_rate": 3.653379198704978e-05, | |
| "loss": 0.2524, | |
| "step": 13312 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "eval_loss": 0.8086119294166565, | |
| "eval_runtime": 25.7264, | |
| "eval_samples_per_second": 81.317, | |
| "eval_steps_per_second": 3.421, | |
| "step": 13312 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 3.549777418049373e-05, | |
| "loss": 0.2521, | |
| "step": 14336 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "eval_loss": 0.8062009215354919, | |
| "eval_runtime": 25.6245, | |
| "eval_samples_per_second": 81.641, | |
| "eval_steps_per_second": 3.434, | |
| "step": 14336 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 3.446175637393768e-05, | |
| "loss": 0.2503, | |
| "step": 15360 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_loss": 0.7997719049453735, | |
| "eval_runtime": 25.6588, | |
| "eval_samples_per_second": 81.532, | |
| "eval_steps_per_second": 3.43, | |
| "step": 15360 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 3.3426750303520846e-05, | |
| "loss": 0.2523, | |
| "step": 16384 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "eval_loss": 0.8097875118255615, | |
| "eval_runtime": 25.6111, | |
| "eval_samples_per_second": 81.683, | |
| "eval_steps_per_second": 3.436, | |
| "step": 16384 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 3.239073249696479e-05, | |
| "loss": 0.251, | |
| "step": 17408 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "eval_loss": 0.8213343620300293, | |
| "eval_runtime": 25.6868, | |
| "eval_samples_per_second": 81.443, | |
| "eval_steps_per_second": 3.426, | |
| "step": 17408 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "learning_rate": 3.135572642654796e-05, | |
| "loss": 0.2509, | |
| "step": 18432 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "eval_loss": 0.8137653470039368, | |
| "eval_runtime": 25.6223, | |
| "eval_samples_per_second": 81.648, | |
| "eval_steps_per_second": 3.435, | |
| "step": 18432 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 3.031970861999191e-05, | |
| "loss": 0.2533, | |
| "step": 19456 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "eval_loss": 0.8182128071784973, | |
| "eval_runtime": 25.6272, | |
| "eval_samples_per_second": 81.632, | |
| "eval_steps_per_second": 3.434, | |
| "step": 19456 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "learning_rate": 2.928369081343586e-05, | |
| "loss": 0.245, | |
| "step": 20480 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "eval_loss": 0.8290057182312012, | |
| "eval_runtime": 25.6288, | |
| "eval_samples_per_second": 81.627, | |
| "eval_steps_per_second": 3.434, | |
| "step": 20480 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "learning_rate": 2.824868474301902e-05, | |
| "loss": 0.2432, | |
| "step": 21504 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "eval_loss": 0.8328016400337219, | |
| "eval_runtime": 25.7111, | |
| "eval_samples_per_second": 81.366, | |
| "eval_steps_per_second": 3.423, | |
| "step": 21504 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 2.7212666936462972e-05, | |
| "loss": 0.2435, | |
| "step": 22528 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "eval_loss": 0.8186773657798767, | |
| "eval_runtime": 25.61, | |
| "eval_samples_per_second": 81.687, | |
| "eval_steps_per_second": 3.436, | |
| "step": 22528 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 2.617766086604614e-05, | |
| "loss": 0.2423, | |
| "step": 23552 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "eval_loss": 0.8238145112991333, | |
| "eval_runtime": 25.6287, | |
| "eval_samples_per_second": 81.627, | |
| "eval_steps_per_second": 3.434, | |
| "step": 23552 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 2.51426547956293e-05, | |
| "loss": 0.2443, | |
| "step": 24576 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "eval_loss": 0.8248941898345947, | |
| "eval_runtime": 25.6771, | |
| "eval_samples_per_second": 81.473, | |
| "eval_steps_per_second": 3.427, | |
| "step": 24576 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 2.410663698907325e-05, | |
| "loss": 0.2431, | |
| "step": 25600 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "eval_loss": 0.8253324031829834, | |
| "eval_runtime": 25.6574, | |
| "eval_samples_per_second": 81.536, | |
| "eval_steps_per_second": 3.43, | |
| "step": 25600 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 2.30706191825172e-05, | |
| "loss": 0.2432, | |
| "step": 26624 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "eval_loss": 0.8268725275993347, | |
| "eval_runtime": 25.6215, | |
| "eval_samples_per_second": 81.65, | |
| "eval_steps_per_second": 3.435, | |
| "step": 26624 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "learning_rate": 2.203460137596115e-05, | |
| "loss": 0.2421, | |
| "step": 27648 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "eval_loss": 0.8282283544540405, | |
| "eval_runtime": 25.6027, | |
| "eval_samples_per_second": 81.71, | |
| "eval_steps_per_second": 3.437, | |
| "step": 27648 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "learning_rate": 2.09985835694051e-05, | |
| "loss": 0.2421, | |
| "step": 28672 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "eval_loss": 0.8267728686332703, | |
| "eval_runtime": 25.6314, | |
| "eval_samples_per_second": 81.619, | |
| "eval_steps_per_second": 3.433, | |
| "step": 28672 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 1.9963577498988265e-05, | |
| "loss": 0.243, | |
| "step": 29696 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 0.8345196843147278, | |
| "eval_runtime": 25.6765, | |
| "eval_samples_per_second": 81.475, | |
| "eval_steps_per_second": 3.427, | |
| "step": 29696 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 1.8927559692432215e-05, | |
| "loss": 0.2367, | |
| "step": 30720 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "eval_loss": 0.8424174189567566, | |
| "eval_runtime": 25.634, | |
| "eval_samples_per_second": 81.61, | |
| "eval_steps_per_second": 3.433, | |
| "step": 30720 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 1.789255362201538e-05, | |
| "loss": 0.237, | |
| "step": 31744 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "eval_loss": 0.8373659253120422, | |
| "eval_runtime": 25.5978, | |
| "eval_samples_per_second": 81.726, | |
| "eval_steps_per_second": 3.438, | |
| "step": 31744 | |
| }, | |
| { | |
| "epoch": 3.32, | |
| "learning_rate": 1.6857547551598542e-05, | |
| "loss": 0.2351, | |
| "step": 32768 | |
| }, | |
| { | |
| "epoch": 3.32, | |
| "eval_loss": 0.8430664539337158, | |
| "eval_runtime": 25.6675, | |
| "eval_samples_per_second": 81.504, | |
| "eval_steps_per_second": 3.428, | |
| "step": 32768 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "learning_rate": 1.5821529745042493e-05, | |
| "loss": 0.2374, | |
| "step": 33792 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "eval_loss": 0.8425076603889465, | |
| "eval_runtime": 25.7071, | |
| "eval_samples_per_second": 81.378, | |
| "eval_steps_per_second": 3.423, | |
| "step": 33792 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "learning_rate": 1.4786523674625658e-05, | |
| "loss": 0.2355, | |
| "step": 34816 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "eval_loss": 0.8351919054985046, | |
| "eval_runtime": 25.6245, | |
| "eval_samples_per_second": 81.641, | |
| "eval_steps_per_second": 3.434, | |
| "step": 34816 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "learning_rate": 1.3750505868069607e-05, | |
| "loss": 0.2373, | |
| "step": 35840 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "eval_loss": 0.845241904258728, | |
| "eval_runtime": 25.6392, | |
| "eval_samples_per_second": 81.594, | |
| "eval_steps_per_second": 3.432, | |
| "step": 35840 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 1.2714488061513558e-05, | |
| "loss": 0.2356, | |
| "step": 36864 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "eval_loss": 0.8382672071456909, | |
| "eval_runtime": 25.6391, | |
| "eval_samples_per_second": 81.594, | |
| "eval_steps_per_second": 3.432, | |
| "step": 36864 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "learning_rate": 1.1678470254957508e-05, | |
| "loss": 0.2343, | |
| "step": 37888 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "eval_loss": 0.8443974852561951, | |
| "eval_runtime": 25.7018, | |
| "eval_samples_per_second": 81.395, | |
| "eval_steps_per_second": 3.424, | |
| "step": 37888 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 1.0642452448401457e-05, | |
| "loss": 0.2348, | |
| "step": 38912 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "eval_loss": 0.8427897095680237, | |
| "eval_runtime": 25.6146, | |
| "eval_samples_per_second": 81.672, | |
| "eval_steps_per_second": 3.436, | |
| "step": 38912 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "learning_rate": 9.606434641845407e-06, | |
| "loss": 0.2349, | |
| "step": 39936 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "eval_loss": 0.8479835987091064, | |
| "eval_runtime": 25.6232, | |
| "eval_samples_per_second": 81.645, | |
| "eval_steps_per_second": 3.434, | |
| "step": 39936 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "learning_rate": 8.571428571428573e-06, | |
| "loss": 0.2327, | |
| "step": 40960 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "eval_loss": 0.8481870889663696, | |
| "eval_runtime": 25.6261, | |
| "eval_samples_per_second": 81.636, | |
| "eval_steps_per_second": 3.434, | |
| "step": 40960 | |
| }, | |
| { | |
| "epoch": 4.25, | |
| "learning_rate": 7.536422501011736e-06, | |
| "loss": 0.2337, | |
| "step": 41984 | |
| }, | |
| { | |
| "epoch": 4.25, | |
| "eval_loss": 0.850956916809082, | |
| "eval_runtime": 25.6867, | |
| "eval_samples_per_second": 81.443, | |
| "eval_steps_per_second": 3.426, | |
| "step": 41984 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "learning_rate": 6.500404694455686e-06, | |
| "loss": 0.2288, | |
| "step": 43008 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "eval_loss": 0.8499058485031128, | |
| "eval_runtime": 25.6219, | |
| "eval_samples_per_second": 81.649, | |
| "eval_steps_per_second": 3.435, | |
| "step": 43008 | |
| }, | |
| { | |
| "epoch": 4.45, | |
| "learning_rate": 5.464386887899636e-06, | |
| "loss": 0.2299, | |
| "step": 44032 | |
| }, | |
| { | |
| "epoch": 4.45, | |
| "eval_loss": 0.8522343039512634, | |
| "eval_runtime": 25.6037, | |
| "eval_samples_per_second": 81.707, | |
| "eval_steps_per_second": 3.437, | |
| "step": 44032 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "learning_rate": 4.429380817482801e-06, | |
| "loss": 0.2277, | |
| "step": 45056 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "eval_loss": 0.85256427526474, | |
| "eval_runtime": 25.6116, | |
| "eval_samples_per_second": 81.682, | |
| "eval_steps_per_second": 3.436, | |
| "step": 45056 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "learning_rate": 3.3933630109267505e-06, | |
| "loss": 0.2301, | |
| "step": 46080 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "eval_loss": 0.851773202419281, | |
| "eval_runtime": 25.6644, | |
| "eval_samples_per_second": 81.514, | |
| "eval_steps_per_second": 3.429, | |
| "step": 46080 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 2.3573452043707e-06, | |
| "loss": 0.2312, | |
| "step": 47104 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "eval_loss": 0.8511470556259155, | |
| "eval_runtime": 25.6121, | |
| "eval_samples_per_second": 81.68, | |
| "eval_steps_per_second": 3.436, | |
| "step": 47104 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "learning_rate": 1.32132739781465e-06, | |
| "loss": 0.2284, | |
| "step": 48128 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "eval_loss": 0.8506836295127869, | |
| "eval_runtime": 25.6413, | |
| "eval_samples_per_second": 81.587, | |
| "eval_steps_per_second": 3.432, | |
| "step": 48128 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "learning_rate": 2.8632132739781467e-07, | |
| "loss": 0.2294, | |
| "step": 49152 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "eval_loss": 0.8519254922866821, | |
| "eval_runtime": 25.6136, | |
| "eval_samples_per_second": 81.675, | |
| "eval_steps_per_second": 3.436, | |
| "step": 49152 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "step": 49420, | |
| "total_flos": 3.1008084491562394e+17, | |
| "train_loss": 0.244437825115332, | |
| "train_runtime": 40418.7139, | |
| "train_samples_per_second": 25.676, | |
| "train_steps_per_second": 1.223 | |
| } | |
| ], | |
| "max_steps": 49420, | |
| "num_train_epochs": 5, | |
| "total_flos": 3.1008084491562394e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |