File size: 4,094 Bytes
1294678 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 |
{
"best_metric": 2.3804991245269775,
"best_model_checkpoint": "./Qwen2-4B-Chat-hinglish-sft/checkpoint-250",
"epoch": 0.9930486593843099,
"eval_steps": 25,
"global_step": 250,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.1,
"grad_norm": 1.1830133199691772,
"learning_rate": 0.00019999629591162656,
"loss": 4.7862,
"step": 25
},
{
"epoch": 0.1,
"eval_loss": 4.098670482635498,
"eval_runtime": 4.1063,
"eval_samples_per_second": 2.679,
"eval_steps_per_second": 2.679,
"step": 25
},
{
"epoch": 0.2,
"grad_norm": 1.0619295835494995,
"learning_rate": 0.00019932568492674144,
"loss": 2.9161,
"step": 50
},
{
"epoch": 0.2,
"eval_loss": 3.1406357288360596,
"eval_runtime": 4.0777,
"eval_samples_per_second": 2.698,
"eval_steps_per_second": 2.698,
"step": 50
},
{
"epoch": 0.3,
"grad_norm": 1.1028335094451904,
"learning_rate": 0.0001975064532257195,
"loss": 2.4282,
"step": 75
},
{
"epoch": 0.3,
"eval_loss": 2.8003995418548584,
"eval_runtime": 4.076,
"eval_samples_per_second": 2.699,
"eval_steps_per_second": 2.699,
"step": 75
},
{
"epoch": 0.4,
"grad_norm": 0.9855464100837708,
"learning_rate": 0.00019455963874271426,
"loss": 2.2815,
"step": 100
},
{
"epoch": 0.4,
"eval_loss": 2.6393470764160156,
"eval_runtime": 4.084,
"eval_samples_per_second": 2.693,
"eval_steps_per_second": 2.693,
"step": 100
},
{
"epoch": 0.5,
"grad_norm": 1.154259204864502,
"learning_rate": 0.00019051931898913976,
"loss": 2.1485,
"step": 125
},
{
"epoch": 0.5,
"eval_loss": 2.5862808227539062,
"eval_runtime": 4.0324,
"eval_samples_per_second": 2.728,
"eval_steps_per_second": 2.728,
"step": 125
},
{
"epoch": 0.6,
"grad_norm": 1.2115691900253296,
"learning_rate": 0.0001854322169749827,
"loss": 2.0884,
"step": 150
},
{
"epoch": 0.6,
"eval_loss": 2.491671323776245,
"eval_runtime": 4.0837,
"eval_samples_per_second": 2.694,
"eval_steps_per_second": 2.694,
"step": 150
},
{
"epoch": 0.7,
"grad_norm": 1.0713191032409668,
"learning_rate": 0.00017935716089521474,
"loss": 2.1055,
"step": 175
},
{
"epoch": 0.7,
"eval_loss": 2.4541499614715576,
"eval_runtime": 4.0493,
"eval_samples_per_second": 2.717,
"eval_steps_per_second": 2.717,
"step": 175
},
{
"epoch": 0.79,
"grad_norm": 1.1404445171356201,
"learning_rate": 0.00017236440382959126,
"loss": 2.1012,
"step": 200
},
{
"epoch": 0.79,
"eval_loss": 2.42814040184021,
"eval_runtime": 4.0309,
"eval_samples_per_second": 2.729,
"eval_steps_per_second": 2.729,
"step": 200
},
{
"epoch": 0.89,
"grad_norm": 1.1801480054855347,
"learning_rate": 0.00016453481132295506,
"loss": 1.9956,
"step": 225
},
{
"epoch": 0.89,
"eval_loss": 2.3967058658599854,
"eval_runtime": 4.0145,
"eval_samples_per_second": 2.74,
"eval_steps_per_second": 2.74,
"step": 225
},
{
"epoch": 0.99,
"grad_norm": 1.2651640176773071,
"learning_rate": 0.00015595892624101765,
"loss": 1.9931,
"step": 250
},
{
"epoch": 0.99,
"eval_loss": 2.3804991245269775,
"eval_runtime": 4.0509,
"eval_samples_per_second": 2.715,
"eval_steps_per_second": 2.715,
"step": 250
}
],
"logging_steps": 25,
"max_steps": 753,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 25,
"total_flos": 1784233117670400.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}
|