|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.2, |
|
"eval_steps": 10, |
|
"global_step": 75, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 9.971570014953613, |
|
"learning_rate": 0.00019, |
|
"loss": 0.3706, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"grad_norm": 4.22176456451416, |
|
"learning_rate": 0.00018, |
|
"loss": 0.3124, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_loss": 0.3505728542804718, |
|
"eval_runtime": 64.0226, |
|
"eval_samples_per_second": 3.124, |
|
"eval_steps_per_second": 1.562, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"grad_norm": 3.4927077293395996, |
|
"learning_rate": 0.00017, |
|
"loss": 0.2459, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"grad_norm": 5.083699703216553, |
|
"learning_rate": 0.00016, |
|
"loss": 0.2418, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"eval_loss": 0.3516603112220764, |
|
"eval_runtime": 63.9821, |
|
"eval_samples_per_second": 3.126, |
|
"eval_steps_per_second": 1.563, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"grad_norm": 4.345269680023193, |
|
"learning_rate": 0.00015000000000000001, |
|
"loss": 0.2474, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"grad_norm": 3.5892534255981445, |
|
"learning_rate": 0.00014, |
|
"loss": 0.2916, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"eval_loss": 0.34584036469459534, |
|
"eval_runtime": 64.416, |
|
"eval_samples_per_second": 3.105, |
|
"eval_steps_per_second": 1.552, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"grad_norm": 3.6377668380737305, |
|
"learning_rate": 0.00013000000000000002, |
|
"loss": 0.2859, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 3.6360130310058594, |
|
"learning_rate": 0.00012, |
|
"loss": 0.2943, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"eval_loss": 0.33658257126808167, |
|
"eval_runtime": 64.2616, |
|
"eval_samples_per_second": 3.112, |
|
"eval_steps_per_second": 1.556, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"grad_norm": 4.8437323570251465, |
|
"learning_rate": 0.00011000000000000002, |
|
"loss": 0.2664, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"grad_norm": 2.5033814907073975, |
|
"learning_rate": 0.0001, |
|
"loss": 0.2793, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"eval_loss": 0.34766554832458496, |
|
"eval_runtime": 64.2152, |
|
"eval_samples_per_second": 3.115, |
|
"eval_steps_per_second": 1.557, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.88, |
|
"grad_norm": 3.4198801517486572, |
|
"learning_rate": 9e-05, |
|
"loss": 0.2661, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"grad_norm": 3.3779234886169434, |
|
"learning_rate": 8e-05, |
|
"loss": 0.2596, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_loss": 0.32815971970558167, |
|
"eval_runtime": 64.2353, |
|
"eval_samples_per_second": 3.114, |
|
"eval_steps_per_second": 1.557, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"grad_norm": 1.620568037033081, |
|
"learning_rate": 7e-05, |
|
"loss": 0.2272, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"grad_norm": 2.3302671909332275, |
|
"learning_rate": 6e-05, |
|
"loss": 0.1611, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"eval_loss": 0.3327696919441223, |
|
"eval_runtime": 64.397, |
|
"eval_samples_per_second": 3.106, |
|
"eval_steps_per_second": 1.553, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"grad_norm": 2.511664867401123, |
|
"learning_rate": 5e-05, |
|
"loss": 0.1351, |
|
"step": 75 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 2, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 5587264613696832.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|