| { | |
| "best_metric": 1.2975215911865234, | |
| "best_model_checkpoint": "/home/datta0/models/lora_final/gemma-2-9b_magiccoder_ortho/checkpoint-4", | |
| "epoch": 0.3135653771562723, | |
| "eval_steps": 4, | |
| "global_step": 48, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.006532612024089007, | |
| "grad_norm": 5.831324577331543, | |
| "learning_rate": 2.5e-05, | |
| "loss": 1.3342, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.013065224048178014, | |
| "grad_norm": 5.2910685539245605, | |
| "learning_rate": 5e-05, | |
| "loss": 1.2199, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.026130448096356028, | |
| "grad_norm": 3.488215684890747, | |
| "learning_rate": 0.0001, | |
| "loss": 1.2682, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.026130448096356028, | |
| "eval_loss": 1.2975215911865234, | |
| "eval_runtime": 866.0894, | |
| "eval_samples_per_second": 0.565, | |
| "eval_steps_per_second": 0.565, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.03919567214453404, | |
| "grad_norm": 3.667466163635254, | |
| "learning_rate": 9.995555091232516e-05, | |
| "loss": 1.3348, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.052260896192712056, | |
| "grad_norm": 8.944449424743652, | |
| "learning_rate": 9.982228267815643e-05, | |
| "loss": 1.6701, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.052260896192712056, | |
| "eval_loss": 4.235434532165527, | |
| "eval_runtime": 252.6713, | |
| "eval_samples_per_second": 1.935, | |
| "eval_steps_per_second": 1.935, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.06532612024089007, | |
| "grad_norm": 8.121936798095703, | |
| "learning_rate": 9.96004322435508e-05, | |
| "loss": 5.8059, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.07839134428906808, | |
| "grad_norm": 1.232266902923584, | |
| "learning_rate": 9.929039405048501e-05, | |
| "loss": 10.2087, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.07839134428906808, | |
| "eval_loss": 11.443126678466797, | |
| "eval_runtime": 295.202, | |
| "eval_samples_per_second": 1.656, | |
| "eval_steps_per_second": 1.656, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.0914565683372461, | |
| "grad_norm": 20.134733200073242, | |
| "learning_rate": 9.889271933555213e-05, | |
| "loss": 11.4156, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.10452179238542411, | |
| "grad_norm": 1.036009669303894, | |
| "learning_rate": 9.840811514988294e-05, | |
| "loss": 11.4501, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.10452179238542411, | |
| "eval_loss": 11.910863876342773, | |
| "eval_runtime": 288.3269, | |
| "eval_samples_per_second": 1.696, | |
| "eval_steps_per_second": 1.696, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.11758701643360213, | |
| "grad_norm": 0.3910887539386749, | |
| "learning_rate": 9.783744310203491e-05, | |
| "loss": 11.9102, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.13065224048178015, | |
| "grad_norm": 0.7469679713249207, | |
| "learning_rate": 9.718171782608356e-05, | |
| "loss": 11.8815, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.13065224048178015, | |
| "eval_loss": 11.953683853149414, | |
| "eval_runtime": 513.8765, | |
| "eval_samples_per_second": 0.952, | |
| "eval_steps_per_second": 0.952, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.14371746452995815, | |
| "grad_norm": 0.6554788947105408, | |
| "learning_rate": 9.644210517764014e-05, | |
| "loss": 11.9806, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.15678268857813615, | |
| "grad_norm": 0.6563255786895752, | |
| "learning_rate": 9.561992016100293e-05, | |
| "loss": 12.0113, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.15678268857813615, | |
| "eval_loss": 11.999762535095215, | |
| "eval_runtime": 627.957, | |
| "eval_samples_per_second": 0.779, | |
| "eval_steps_per_second": 0.779, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.16984791262631418, | |
| "grad_norm": 0.5697500109672546, | |
| "learning_rate": 9.471662459112747e-05, | |
| "loss": 11.9923, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.1829131366744922, | |
| "grad_norm": 0.4122526943683624, | |
| "learning_rate": 9.373382449457304e-05, | |
| "loss": 11.9021, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.1829131366744922, | |
| "eval_loss": 11.957951545715332, | |
| "eval_runtime": 666.2787, | |
| "eval_samples_per_second": 0.734, | |
| "eval_steps_per_second": 0.734, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.1959783607226702, | |
| "grad_norm": 0.15934322774410248, | |
| "learning_rate": 9.267326725404599e-05, | |
| "loss": 11.9592, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.20904358477084822, | |
| "grad_norm": 0.49380967020988464, | |
| "learning_rate": 9.153683850161706e-05, | |
| "loss": 11.9273, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.20904358477084822, | |
| "eval_loss": 11.900312423706055, | |
| "eval_runtime": 678.6572, | |
| "eval_samples_per_second": 0.721, | |
| "eval_steps_per_second": 0.721, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.22210880881902623, | |
| "grad_norm": 0.49335020780563354, | |
| "learning_rate": 9.032655876613636e-05, | |
| "loss": 11.8792, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.23517403286720426, | |
| "grad_norm": 0.333467960357666, | |
| "learning_rate": 8.904457988080681e-05, | |
| "loss": 11.833, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.23517403286720426, | |
| "eval_loss": 11.815201759338379, | |
| "eval_runtime": 652.6748, | |
| "eval_samples_per_second": 0.749, | |
| "eval_steps_per_second": 0.749, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.24823925691538226, | |
| "grad_norm": 0.2453756183385849, | |
| "learning_rate": 8.76931811573033e-05, | |
| "loss": 11.8354, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.2613044809635603, | |
| "grad_norm": 0.22134803235530853, | |
| "learning_rate": 8.627476533323957e-05, | |
| "loss": 11.7118, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.2613044809635603, | |
| "eval_loss": 11.792489051818848, | |
| "eval_runtime": 659.3874, | |
| "eval_samples_per_second": 0.742, | |
| "eval_steps_per_second": 0.742, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.2743697050117383, | |
| "grad_norm": 0.22551162540912628, | |
| "learning_rate": 8.479185430018858e-05, | |
| "loss": 11.7013, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.2874349290599163, | |
| "grad_norm": 0.24199481308460236, | |
| "learning_rate": 8.324708461985124e-05, | |
| "loss": 11.5874, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.2874349290599163, | |
| "eval_loss": 11.56563663482666, | |
| "eval_runtime": 557.8414, | |
| "eval_samples_per_second": 0.877, | |
| "eval_steps_per_second": 0.877, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.3005001531080943, | |
| "grad_norm": 0.1317184865474701, | |
| "learning_rate": 8.164320283634585e-05, | |
| "loss": 11.5482, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.3135653771562723, | |
| "grad_norm": 0.183132141828537, | |
| "learning_rate": 7.998306059295301e-05, | |
| "loss": 11.4794, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.3135653771562723, | |
| "eval_loss": 11.47742748260498, | |
| "eval_runtime": 674.8709, | |
| "eval_samples_per_second": 0.725, | |
| "eval_steps_per_second": 0.725, | |
| "step": 48 | |
| } | |
| ], | |
| "logging_steps": 2, | |
| "max_steps": 153, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 4, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 9.33894962284462e+16, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |