GaetanMichelet's picture
Model save
6825c6b verified
raw
history blame
No virus
8.95 kB
{
"best_metric": 1.1440507173538208,
"best_model_checkpoint": "data/Mistral-7B_task-1_60-samples_config-1/checkpoint-23",
"epoch": 10.956521739130435,
"eval_steps": 500,
"global_step": 63,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17391304347826086,
"grad_norm": 5.991142272949219,
"learning_rate": 4.000000000000001e-06,
"loss": 2.2123,
"step": 1
},
{
"epoch": 0.34782608695652173,
"grad_norm": 6.2022881507873535,
"learning_rate": 8.000000000000001e-06,
"loss": 2.3365,
"step": 2
},
{
"epoch": 0.6956521739130435,
"grad_norm": 5.94657564163208,
"learning_rate": 1.6000000000000003e-05,
"loss": 2.3685,
"step": 4
},
{
"epoch": 0.8695652173913043,
"eval_loss": 1.9770396947860718,
"eval_runtime": 4.9096,
"eval_samples_per_second": 2.444,
"eval_steps_per_second": 2.444,
"step": 5
},
{
"epoch": 1.0434782608695652,
"grad_norm": 5.112995624542236,
"learning_rate": 2.4e-05,
"loss": 2.162,
"step": 6
},
{
"epoch": 1.391304347826087,
"grad_norm": 4.547484874725342,
"learning_rate": 3.2000000000000005e-05,
"loss": 1.9474,
"step": 8
},
{
"epoch": 1.7391304347826086,
"grad_norm": 3.081784248352051,
"learning_rate": 4e-05,
"loss": 1.5814,
"step": 10
},
{
"epoch": 1.9130434782608696,
"eval_loss": 1.3894500732421875,
"eval_runtime": 4.9463,
"eval_samples_per_second": 2.426,
"eval_steps_per_second": 2.426,
"step": 11
},
{
"epoch": 2.0869565217391304,
"grad_norm": 2.3743317127227783,
"learning_rate": 4.8e-05,
"loss": 1.354,
"step": 12
},
{
"epoch": 2.4347826086956523,
"grad_norm": 1.6964478492736816,
"learning_rate": 5.6000000000000006e-05,
"loss": 1.2551,
"step": 14
},
{
"epoch": 2.782608695652174,
"grad_norm": 1.6185894012451172,
"learning_rate": 6.400000000000001e-05,
"loss": 1.2096,
"step": 16
},
{
"epoch": 2.9565217391304346,
"eval_loss": 1.2663203477859497,
"eval_runtime": 4.8945,
"eval_samples_per_second": 2.452,
"eval_steps_per_second": 2.452,
"step": 17
},
{
"epoch": 3.130434782608696,
"grad_norm": 1.5679247379302979,
"learning_rate": 7.2e-05,
"loss": 1.1433,
"step": 18
},
{
"epoch": 3.4782608695652173,
"grad_norm": 1.7541425228118896,
"learning_rate": 8e-05,
"loss": 0.9958,
"step": 20
},
{
"epoch": 3.8260869565217392,
"grad_norm": 1.479678988456726,
"learning_rate": 8.800000000000001e-05,
"loss": 1.0552,
"step": 22
},
{
"epoch": 4.0,
"eval_loss": 1.1440507173538208,
"eval_runtime": 4.8958,
"eval_samples_per_second": 2.451,
"eval_steps_per_second": 2.451,
"step": 23
},
{
"epoch": 4.173913043478261,
"grad_norm": 1.4151923656463623,
"learning_rate": 9.6e-05,
"loss": 0.9004,
"step": 24
},
{
"epoch": 4.521739130434782,
"grad_norm": 1.4100896120071411,
"learning_rate": 9.999512620046522e-05,
"loss": 0.7865,
"step": 26
},
{
"epoch": 4.869565217391305,
"grad_norm": 1.4641093015670776,
"learning_rate": 9.995614150494293e-05,
"loss": 0.7016,
"step": 28
},
{
"epoch": 4.869565217391305,
"eval_loss": 1.2034224271774292,
"eval_runtime": 4.9023,
"eval_samples_per_second": 2.448,
"eval_steps_per_second": 2.448,
"step": 28
},
{
"epoch": 5.217391304347826,
"grad_norm": 2.018409490585327,
"learning_rate": 9.987820251299122e-05,
"loss": 0.6294,
"step": 30
},
{
"epoch": 5.565217391304348,
"grad_norm": 1.8171939849853516,
"learning_rate": 9.976136999909156e-05,
"loss": 0.4796,
"step": 32
},
{
"epoch": 5.913043478260869,
"grad_norm": 2.3160622119903564,
"learning_rate": 9.96057350657239e-05,
"loss": 0.3712,
"step": 34
},
{
"epoch": 5.913043478260869,
"eval_loss": 1.5233873128890991,
"eval_runtime": 4.9388,
"eval_samples_per_second": 2.43,
"eval_steps_per_second": 2.43,
"step": 34
},
{
"epoch": 6.260869565217392,
"grad_norm": 2.1395063400268555,
"learning_rate": 9.941141907232765e-05,
"loss": 0.2496,
"step": 36
},
{
"epoch": 6.608695652173913,
"grad_norm": 3.050215721130371,
"learning_rate": 9.917857354066931e-05,
"loss": 0.1929,
"step": 38
},
{
"epoch": 6.956521739130435,
"grad_norm": 3.4642417430877686,
"learning_rate": 9.890738003669029e-05,
"loss": 0.2113,
"step": 40
},
{
"epoch": 6.956521739130435,
"eval_loss": 1.7754243612289429,
"eval_runtime": 4.9005,
"eval_samples_per_second": 2.449,
"eval_steps_per_second": 2.449,
"step": 40
},
{
"epoch": 7.304347826086957,
"grad_norm": 1.621311902999878,
"learning_rate": 9.859805002892732e-05,
"loss": 0.0883,
"step": 42
},
{
"epoch": 7.6521739130434785,
"grad_norm": 2.752639055252075,
"learning_rate": 9.825082472361557e-05,
"loss": 0.0951,
"step": 44
},
{
"epoch": 8.0,
"grad_norm": 2.989722490310669,
"learning_rate": 9.786597487660337e-05,
"loss": 0.1125,
"step": 46
},
{
"epoch": 8.0,
"eval_loss": 1.8850336074829102,
"eval_runtime": 4.8946,
"eval_samples_per_second": 2.452,
"eval_steps_per_second": 2.452,
"step": 46
},
{
"epoch": 8.347826086956522,
"grad_norm": 3.1502797603607178,
"learning_rate": 9.744380058222483e-05,
"loss": 0.0401,
"step": 48
},
{
"epoch": 8.695652173913043,
"grad_norm": 1.9465205669403076,
"learning_rate": 9.698463103929542e-05,
"loss": 0.0539,
"step": 50
},
{
"epoch": 8.869565217391305,
"eval_loss": 2.033078908920288,
"eval_runtime": 4.845,
"eval_samples_per_second": 2.477,
"eval_steps_per_second": 2.477,
"step": 51
},
{
"epoch": 9.043478260869565,
"grad_norm": 1.212947130203247,
"learning_rate": 9.648882429441257e-05,
"loss": 0.0254,
"step": 52
},
{
"epoch": 9.391304347826088,
"grad_norm": 2.585963487625122,
"learning_rate": 9.595676696276172e-05,
"loss": 0.0464,
"step": 54
},
{
"epoch": 9.73913043478261,
"grad_norm": 2.3054916858673096,
"learning_rate": 9.538887392664544e-05,
"loss": 0.0327,
"step": 56
},
{
"epoch": 9.91304347826087,
"eval_loss": 2.0972988605499268,
"eval_runtime": 4.8449,
"eval_samples_per_second": 2.477,
"eval_steps_per_second": 2.477,
"step": 57
},
{
"epoch": 10.08695652173913,
"grad_norm": 1.6045154333114624,
"learning_rate": 9.478558801197065e-05,
"loss": 0.0346,
"step": 58
},
{
"epoch": 10.434782608695652,
"grad_norm": 0.9054758548736572,
"learning_rate": 9.414737964294636e-05,
"loss": 0.0141,
"step": 60
},
{
"epoch": 10.782608695652174,
"grad_norm": 0.3107316195964813,
"learning_rate": 9.347474647526095e-05,
"loss": 0.0269,
"step": 62
},
{
"epoch": 10.956521739130435,
"eval_loss": 2.025130033493042,
"eval_runtime": 4.8408,
"eval_samples_per_second": 2.479,
"eval_steps_per_second": 2.479,
"step": 63
},
{
"epoch": 10.956521739130435,
"step": 63,
"total_flos": 7403924491337728.0,
"train_loss": 0.7132057910932909,
"train_runtime": 598.2674,
"train_samples_per_second": 3.844,
"train_steps_per_second": 0.418
}
],
"logging_steps": 2,
"max_steps": 250,
"num_input_tokens_seen": 0,
"num_train_epochs": 50,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 7,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7403924491337728.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}