| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 4.024767801857585, | |
| "eval_steps": 100, | |
| "global_step": 2600, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.15479876160990713, | |
| "eval_loss": 3.556110143661499, | |
| "eval_runtime": 152.2069, | |
| "eval_samples_per_second": 37.16, | |
| "eval_steps_per_second": 4.645, | |
| "eval_wer": 1.0, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.30959752321981426, | |
| "eval_loss": 3.3711678981781006, | |
| "eval_runtime": 150.3074, | |
| "eval_samples_per_second": 37.63, | |
| "eval_steps_per_second": 4.704, | |
| "eval_wer": 1.0, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.46439628482972134, | |
| "eval_loss": 3.1735892295837402, | |
| "eval_runtime": 149.399, | |
| "eval_samples_per_second": 37.858, | |
| "eval_steps_per_second": 4.732, | |
| "eval_wer": 1.0, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.6191950464396285, | |
| "eval_loss": 1.1719417572021484, | |
| "eval_runtime": 149.6776, | |
| "eval_samples_per_second": 37.788, | |
| "eval_steps_per_second": 4.723, | |
| "eval_wer": 0.7909839354207122, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.7739938080495357, | |
| "grad_norm": 4.971697807312012, | |
| "learning_rate": 0.00029699999999999996, | |
| "loss": 3.7217, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.7739938080495357, | |
| "eval_loss": 0.9168550968170166, | |
| "eval_runtime": 151.3653, | |
| "eval_samples_per_second": 37.367, | |
| "eval_steps_per_second": 4.671, | |
| "eval_wer": 0.6775689685609283, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.9287925696594427, | |
| "eval_loss": 0.8096873760223389, | |
| "eval_runtime": 152.1183, | |
| "eval_samples_per_second": 37.182, | |
| "eval_steps_per_second": 4.648, | |
| "eval_wer": 0.6191362680746577, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 1.08359133126935, | |
| "eval_loss": 0.698630690574646, | |
| "eval_runtime": 152.6154, | |
| "eval_samples_per_second": 37.06, | |
| "eval_steps_per_second": 4.633, | |
| "eval_wer": 0.5080001925823691, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 1.238390092879257, | |
| "eval_loss": 0.6122636795043945, | |
| "eval_runtime": 152.7743, | |
| "eval_samples_per_second": 37.022, | |
| "eval_steps_per_second": 4.628, | |
| "eval_wer": 0.4628556755629022, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 1.3931888544891642, | |
| "eval_loss": 0.581542432308197, | |
| "eval_runtime": 152.3981, | |
| "eval_samples_per_second": 37.113, | |
| "eval_steps_per_second": 4.639, | |
| "eval_wer": 0.44985636564972475, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 1.5479876160990713, | |
| "grad_norm": 0.40550583600997925, | |
| "learning_rate": 0.00022971428571428568, | |
| "loss": 0.6148, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.5479876160990713, | |
| "eval_loss": 0.5666411519050598, | |
| "eval_runtime": 152.2007, | |
| "eval_samples_per_second": 37.161, | |
| "eval_steps_per_second": 4.645, | |
| "eval_wer": 0.4218356309479867, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.7027863777089784, | |
| "eval_loss": 0.5285393595695496, | |
| "eval_runtime": 153.0291, | |
| "eval_samples_per_second": 36.96, | |
| "eval_steps_per_second": 4.62, | |
| "eval_wer": 0.404872333937828, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 1.8575851393188856, | |
| "eval_loss": 0.5309253334999084, | |
| "eval_runtime": 151.5626, | |
| "eval_samples_per_second": 37.318, | |
| "eval_steps_per_second": 4.665, | |
| "eval_wer": 0.39715299064370657, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 2.0123839009287927, | |
| "eval_loss": 0.4992642104625702, | |
| "eval_runtime": 152.6009, | |
| "eval_samples_per_second": 37.064, | |
| "eval_steps_per_second": 4.633, | |
| "eval_wer": 0.38177849817849174, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 2.1671826625387, | |
| "eval_loss": 0.4779135286808014, | |
| "eval_runtime": 152.6609, | |
| "eval_samples_per_second": 37.049, | |
| "eval_steps_per_second": 4.631, | |
| "eval_wer": 0.37216542825504323, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 2.321981424148607, | |
| "grad_norm": 0.44798457622528076, | |
| "learning_rate": 0.0001584285714285714, | |
| "loss": 0.4634, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.321981424148607, | |
| "eval_loss": 0.4679175317287445, | |
| "eval_runtime": 152.7285, | |
| "eval_samples_per_second": 37.033, | |
| "eval_steps_per_second": 4.629, | |
| "eval_wer": 0.36587440419829564, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 2.476780185758514, | |
| "eval_loss": 0.4679177403450012, | |
| "eval_runtime": 152.8181, | |
| "eval_samples_per_second": 37.011, | |
| "eval_steps_per_second": 4.626, | |
| "eval_wer": 0.3621350965319125, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 2.6315789473684212, | |
| "eval_loss": 0.45253580808639526, | |
| "eval_runtime": 152.233, | |
| "eval_samples_per_second": 37.154, | |
| "eval_steps_per_second": 4.644, | |
| "eval_wer": 0.3504196690792958, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 2.7863777089783284, | |
| "eval_loss": 0.43527287244796753, | |
| "eval_runtime": 151.4529, | |
| "eval_samples_per_second": 37.345, | |
| "eval_steps_per_second": 4.668, | |
| "eval_wer": 0.33567106931360435, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 2.9411764705882355, | |
| "eval_loss": 0.43578359484672546, | |
| "eval_runtime": 151.2727, | |
| "eval_samples_per_second": 37.389, | |
| "eval_steps_per_second": 4.674, | |
| "eval_wer": 0.34231516104700616, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 3.0959752321981426, | |
| "grad_norm": 0.39644455909729004, | |
| "learning_rate": 8.742857142857142e-05, | |
| "loss": 0.3708, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.0959752321981426, | |
| "eval_loss": 0.4390716254711151, | |
| "eval_runtime": 151.9868, | |
| "eval_samples_per_second": 37.214, | |
| "eval_steps_per_second": 4.652, | |
| "eval_wer": 0.33554268106754825, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 3.2507739938080498, | |
| "eval_loss": 0.43068408966064453, | |
| "eval_runtime": 150.3939, | |
| "eval_samples_per_second": 37.608, | |
| "eval_steps_per_second": 4.701, | |
| "eval_wer": 0.32817640545008103, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 3.405572755417957, | |
| "eval_loss": 0.42743122577667236, | |
| "eval_runtime": 150.4729, | |
| "eval_samples_per_second": 37.588, | |
| "eval_steps_per_second": 4.699, | |
| "eval_wer": 0.3275344642198007, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 3.560371517027864, | |
| "eval_loss": 0.43879058957099915, | |
| "eval_runtime": 151.6942, | |
| "eval_samples_per_second": 37.286, | |
| "eval_steps_per_second": 4.661, | |
| "eval_wer": 0.324629680152782, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 3.715170278637771, | |
| "eval_loss": 0.4521045684814453, | |
| "eval_runtime": 151.7513, | |
| "eval_samples_per_second": 37.272, | |
| "eval_steps_per_second": 4.659, | |
| "eval_wer": 0.32769494952737077, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 3.8699690402476783, | |
| "grad_norm": 6.033559322357178, | |
| "learning_rate": 1.642857142857143e-05, | |
| "loss": 0.3391, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 3.8699690402476783, | |
| "eval_loss": 0.4861215353012085, | |
| "eval_runtime": 151.4972, | |
| "eval_samples_per_second": 37.334, | |
| "eval_steps_per_second": 4.667, | |
| "eval_wer": 0.3390412607725763, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 4.024767801857585, | |
| "eval_loss": 0.49710649251937866, | |
| "eval_runtime": 152.3447, | |
| "eval_samples_per_second": 37.126, | |
| "eval_steps_per_second": 4.641, | |
| "eval_wer": 0.3380783489271557, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 4.024767801857585, | |
| "step": 2600, | |
| "total_flos": 2.3576121775744893e+19, | |
| "train_loss": 1.074923675243671, | |
| "train_runtime": 10028.377, | |
| "train_samples_per_second": 16.593, | |
| "train_steps_per_second": 0.259 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 2600, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 5, | |
| "save_steps": 400, | |
| "total_flos": 2.3576121775744893e+19, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |