| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 0.31496062992125984, | |
| "eval_steps": 5, | |
| "global_step": 20, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.015748031496062992, | |
| "grad_norm": 5.510926246643066, | |
| "learning_rate": 1.9894179894179895e-05, | |
| "loss": 0.9249, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.031496062992125984, | |
| "grad_norm": 8.61505126953125, | |
| "learning_rate": 1.978835978835979e-05, | |
| "loss": 0.8445, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.047244094488188976, | |
| "grad_norm": 7.036591529846191, | |
| "learning_rate": 1.9682539682539684e-05, | |
| "loss": 0.9654, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.06299212598425197, | |
| "grad_norm": 5.803933143615723, | |
| "learning_rate": 1.9576719576719577e-05, | |
| "loss": 0.9276, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.07874015748031496, | |
| "grad_norm": 5.716428756713867, | |
| "learning_rate": 1.947089947089947e-05, | |
| "loss": 0.9241, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.07874015748031496, | |
| "eval_accuracy": 0.5678496868475992, | |
| "eval_loss": 0.6996241807937622, | |
| "eval_runtime": 108.7291, | |
| "eval_samples_per_second": 4.405, | |
| "eval_steps_per_second": 0.552, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.09448818897637795, | |
| "grad_norm": 7.55866813659668, | |
| "learning_rate": 1.9365079365079367e-05, | |
| "loss": 0.9947, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.11023622047244094, | |
| "grad_norm": 6.801171779632568, | |
| "learning_rate": 1.925925925925926e-05, | |
| "loss": 0.972, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.12598425196850394, | |
| "grad_norm": 4.845946311950684, | |
| "learning_rate": 1.9153439153439156e-05, | |
| "loss": 0.6478, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.14173228346456693, | |
| "grad_norm": 10.487945556640625, | |
| "learning_rate": 1.904761904761905e-05, | |
| "loss": 0.8597, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.15748031496062992, | |
| "grad_norm": 5.452786445617676, | |
| "learning_rate": 1.8941798941798943e-05, | |
| "loss": 0.7708, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.15748031496062992, | |
| "eval_accuracy": 0.6659707724425887, | |
| "eval_loss": 0.6283570528030396, | |
| "eval_runtime": 108.7155, | |
| "eval_samples_per_second": 4.406, | |
| "eval_steps_per_second": 0.552, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.1732283464566929, | |
| "grad_norm": 4.522532939910889, | |
| "learning_rate": 1.8835978835978836e-05, | |
| "loss": 0.6848, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.1889763779527559, | |
| "grad_norm": 6.4987688064575195, | |
| "learning_rate": 1.8730158730158732e-05, | |
| "loss": 0.6644, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.2047244094488189, | |
| "grad_norm": 4.2297682762146, | |
| "learning_rate": 1.8624338624338625e-05, | |
| "loss": 0.7227, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.2204724409448819, | |
| "grad_norm": 6.5658063888549805, | |
| "learning_rate": 1.851851851851852e-05, | |
| "loss": 0.6991, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.23622047244094488, | |
| "grad_norm": 6.549685001373291, | |
| "learning_rate": 1.8412698412698415e-05, | |
| "loss": 0.7875, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.23622047244094488, | |
| "eval_accuracy": 0.7244258872651357, | |
| "eval_loss": 0.5749094486236572, | |
| "eval_runtime": 108.7121, | |
| "eval_samples_per_second": 4.406, | |
| "eval_steps_per_second": 0.552, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.25196850393700787, | |
| "grad_norm": 3.6349198818206787, | |
| "learning_rate": 1.8306878306878308e-05, | |
| "loss": 0.5732, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.2677165354330709, | |
| "grad_norm": 4.741979598999023, | |
| "learning_rate": 1.82010582010582e-05, | |
| "loss": 0.5774, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.28346456692913385, | |
| "grad_norm": 4.751223087310791, | |
| "learning_rate": 1.8095238095238097e-05, | |
| "loss": 0.5738, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.2992125984251969, | |
| "grad_norm": 5.214819431304932, | |
| "learning_rate": 1.798941798941799e-05, | |
| "loss": 0.7182, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.31496062992125984, | |
| "grad_norm": 5.566962718963623, | |
| "learning_rate": 1.7883597883597884e-05, | |
| "loss": 0.6575, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.31496062992125984, | |
| "eval_accuracy": 0.7390396659707724, | |
| "eval_loss": 0.5360159873962402, | |
| "eval_runtime": 108.7252, | |
| "eval_samples_per_second": 4.406, | |
| "eval_steps_per_second": 0.552, | |
| "step": 20 | |
| } | |
| ], | |
| "logging_steps": 1.0, | |
| "max_steps": 189, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 20, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |