End of training
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +4 -4
- trainer_state.json +66 -66
all_results.json
CHANGED
|
@@ -1,15 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
"eval_samples": 8605,
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_steps_per_second":
|
| 9 |
"total_flos": 2.28033311981568e+16,
|
| 10 |
-
"train_loss":
|
| 11 |
-
"train_runtime":
|
| 12 |
"train_samples": 34420,
|
| 13 |
-
"train_samples_per_second":
|
| 14 |
-
"train_steps_per_second":
|
| 15 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
+
"eval_f1": 0.7705941970545616,
|
| 4 |
+
"eval_loss": 0.8075858354568481,
|
| 5 |
+
"eval_runtime": 5.8073,
|
| 6 |
"eval_samples": 8605,
|
| 7 |
+
"eval_samples_per_second": 1481.76,
|
| 8 |
+
"eval_steps_per_second": 23.247,
|
| 9 |
"total_flos": 2.28033311981568e+16,
|
| 10 |
+
"train_loss": 1.097573880901124,
|
| 11 |
+
"train_runtime": 397.4859,
|
| 12 |
"train_samples": 34420,
|
| 13 |
+
"train_samples_per_second": 432.971,
|
| 14 |
+
"train_steps_per_second": 6.768
|
| 15 |
}
|
eval_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
"eval_samples": 8605,
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_steps_per_second":
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
+
"eval_f1": 0.7705941970545616,
|
| 4 |
+
"eval_loss": 0.8075858354568481,
|
| 5 |
+
"eval_runtime": 5.8073,
|
| 6 |
"eval_samples": 8605,
|
| 7 |
+
"eval_samples_per_second": 1481.76,
|
| 8 |
+
"eval_steps_per_second": 23.247
|
| 9 |
}
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
"total_flos": 2.28033311981568e+16,
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 34420,
|
| 7 |
-
"train_samples_per_second":
|
| 8 |
-
"train_steps_per_second":
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 5.0,
|
| 3 |
"total_flos": 2.28033311981568e+16,
|
| 4 |
+
"train_loss": 1.097573880901124,
|
| 5 |
+
"train_runtime": 397.4859,
|
| 6 |
"train_samples": 34420,
|
| 7 |
+
"train_samples_per_second": 432.971,
|
| 8 |
+
"train_steps_per_second": 6.768
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -1,105 +1,105 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric":
|
| 3 |
-
"best_model_checkpoint":
|
| 4 |
"epoch": 5.0,
|
| 5 |
-
"eval_steps": 500
|
| 6 |
-
"global_step":
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
-
"epoch":
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss":
|
| 16 |
-
"step":
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 1.0,
|
| 20 |
-
"eval_f1": 0.
|
| 21 |
-
"eval_loss":
|
| 22 |
-
"eval_runtime":
|
| 23 |
-
"eval_samples_per_second":
|
| 24 |
-
"eval_steps_per_second":
|
| 25 |
-
"step":
|
| 26 |
},
|
| 27 |
{
|
| 28 |
-
"epoch":
|
| 29 |
-
"grad_norm":
|
| 30 |
-
"learning_rate":
|
| 31 |
-
"loss":
|
| 32 |
-
"step":
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 2.0,
|
| 36 |
-
"eval_f1": 0.
|
| 37 |
-
"eval_loss": 0.
|
| 38 |
-
"eval_runtime":
|
| 39 |
-
"eval_samples_per_second":
|
| 40 |
-
"eval_steps_per_second":
|
| 41 |
-
"step":
|
| 42 |
},
|
| 43 |
{
|
| 44 |
-
"epoch":
|
| 45 |
-
"grad_norm":
|
| 46 |
-
"learning_rate":
|
| 47 |
-
"loss": 0.
|
| 48 |
-
"step":
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 3.0,
|
| 52 |
-
"eval_f1": 0.
|
| 53 |
-
"eval_loss": 0.
|
| 54 |
-
"eval_runtime":
|
| 55 |
-
"eval_samples_per_second":
|
| 56 |
-
"eval_steps_per_second":
|
| 57 |
-
"step":
|
| 58 |
},
|
| 59 |
{
|
| 60 |
-
"epoch":
|
| 61 |
-
"grad_norm":
|
| 62 |
-
"learning_rate":
|
| 63 |
-
"loss": 0.
|
| 64 |
-
"step":
|
| 65 |
},
|
| 66 |
{
|
| 67 |
"epoch": 4.0,
|
| 68 |
-
"eval_f1": 0.
|
| 69 |
-
"eval_loss": 0.
|
| 70 |
-
"eval_runtime":
|
| 71 |
-
"eval_samples_per_second":
|
| 72 |
-
"eval_steps_per_second":
|
| 73 |
-
"step":
|
| 74 |
},
|
| 75 |
{
|
| 76 |
-
"epoch":
|
| 77 |
-
"grad_norm": 5.
|
| 78 |
-
"learning_rate":
|
| 79 |
-
"loss": 0.
|
| 80 |
-
"step":
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 5.0,
|
| 84 |
-
"eval_f1": 0.
|
| 85 |
-
"eval_loss": 0.
|
| 86 |
-
"eval_runtime":
|
| 87 |
-
"eval_samples_per_second":
|
| 88 |
-
"eval_steps_per_second":
|
| 89 |
-
"step":
|
| 90 |
},
|
| 91 |
{
|
| 92 |
"epoch": 5.0,
|
| 93 |
-
"step":
|
| 94 |
"total_flos": 2.28033311981568e+16,
|
| 95 |
-
"train_loss":
|
| 96 |
-
"train_runtime":
|
| 97 |
-
"train_samples_per_second":
|
| 98 |
-
"train_steps_per_second":
|
| 99 |
}
|
| 100 |
],
|
| 101 |
"logging_steps": 500,
|
| 102 |
-
"max_steps":
|
| 103 |
"num_input_tokens_seen": 0,
|
| 104 |
"num_train_epochs": 5,
|
| 105 |
"save_steps": 500,
|
|
@@ -116,7 +116,7 @@
|
|
| 116 |
}
|
| 117 |
},
|
| 118 |
"total_flos": 2.28033311981568e+16,
|
| 119 |
-
"train_batch_size":
|
| 120 |
"trial_name": null,
|
| 121 |
"trial_params": null
|
| 122 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 0.8075858354568481,
|
| 3 |
+
"best_model_checkpoint": "./distilbert-multilingual-sdg-classification/checkpoint-2690",
|
| 4 |
"epoch": 5.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 2690,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 0.929368029739777,
|
| 13 |
+
"grad_norm": 5.209447383880615,
|
| 14 |
+
"learning_rate": 8.333333333333334e-06,
|
| 15 |
+
"loss": 2.1669,
|
| 16 |
+
"step": 500
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 1.0,
|
| 20 |
+
"eval_f1": 0.6552228504413294,
|
| 21 |
+
"eval_loss": 1.2065790891647339,
|
| 22 |
+
"eval_runtime": 5.8951,
|
| 23 |
+
"eval_samples_per_second": 1459.691,
|
| 24 |
+
"eval_steps_per_second": 22.9,
|
| 25 |
+
"step": 538
|
| 26 |
},
|
| 27 |
{
|
| 28 |
+
"epoch": 1.858736059479554,
|
| 29 |
+
"grad_norm": 4.618020534515381,
|
| 30 |
+
"learning_rate": 8.090909090909092e-06,
|
| 31 |
+
"loss": 1.0784,
|
| 32 |
+
"step": 1000
|
| 33 |
},
|
| 34 |
{
|
| 35 |
"epoch": 2.0,
|
| 36 |
+
"eval_f1": 0.7414291761169469,
|
| 37 |
+
"eval_loss": 0.9131004214286804,
|
| 38 |
+
"eval_runtime": 5.864,
|
| 39 |
+
"eval_samples_per_second": 1467.42,
|
| 40 |
+
"eval_steps_per_second": 23.022,
|
| 41 |
+
"step": 1076
|
| 42 |
},
|
| 43 |
{
|
| 44 |
+
"epoch": 2.7881040892193307,
|
| 45 |
+
"grad_norm": 6.927801609039307,
|
| 46 |
+
"learning_rate": 5.698564593301436e-06,
|
| 47 |
+
"loss": 0.8756,
|
| 48 |
+
"step": 1500
|
| 49 |
},
|
| 50 |
{
|
| 51 |
"epoch": 3.0,
|
| 52 |
+
"eval_f1": 0.7613752074026013,
|
| 53 |
+
"eval_loss": 0.840763509273529,
|
| 54 |
+
"eval_runtime": 5.8902,
|
| 55 |
+
"eval_samples_per_second": 1460.895,
|
| 56 |
+
"eval_steps_per_second": 22.919,
|
| 57 |
+
"step": 1614
|
| 58 |
},
|
| 59 |
{
|
| 60 |
+
"epoch": 3.717472118959108,
|
| 61 |
+
"grad_norm": 7.057933330535889,
|
| 62 |
+
"learning_rate": 3.30622009569378e-06,
|
| 63 |
+
"loss": 0.7817,
|
| 64 |
+
"step": 2000
|
| 65 |
},
|
| 66 |
{
|
| 67 |
"epoch": 4.0,
|
| 68 |
+
"eval_f1": 0.7688440327429015,
|
| 69 |
+
"eval_loss": 0.8136261105537415,
|
| 70 |
+
"eval_runtime": 5.8715,
|
| 71 |
+
"eval_samples_per_second": 1465.551,
|
| 72 |
+
"eval_steps_per_second": 22.992,
|
| 73 |
+
"step": 2152
|
| 74 |
},
|
| 75 |
{
|
| 76 |
+
"epoch": 4.646840148698884,
|
| 77 |
+
"grad_norm": 5.335556507110596,
|
| 78 |
+
"learning_rate": 9.138755980861245e-07,
|
| 79 |
+
"loss": 0.7337,
|
| 80 |
+
"step": 2500
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 5.0,
|
| 84 |
+
"eval_f1": 0.7705941970545616,
|
| 85 |
+
"eval_loss": 0.8075858354568481,
|
| 86 |
+
"eval_runtime": 5.8756,
|
| 87 |
+
"eval_samples_per_second": 1464.538,
|
| 88 |
+
"eval_steps_per_second": 22.976,
|
| 89 |
+
"step": 2690
|
| 90 |
},
|
| 91 |
{
|
| 92 |
"epoch": 5.0,
|
| 93 |
+
"step": 2690,
|
| 94 |
"total_flos": 2.28033311981568e+16,
|
| 95 |
+
"train_loss": 1.097573880901124,
|
| 96 |
+
"train_runtime": 397.4859,
|
| 97 |
+
"train_samples_per_second": 432.971,
|
| 98 |
+
"train_steps_per_second": 6.768
|
| 99 |
}
|
| 100 |
],
|
| 101 |
"logging_steps": 500,
|
| 102 |
+
"max_steps": 2690,
|
| 103 |
"num_input_tokens_seen": 0,
|
| 104 |
"num_train_epochs": 5,
|
| 105 |
"save_steps": 500,
|
|
|
|
| 116 |
}
|
| 117 |
},
|
| 118 |
"total_flos": 2.28033311981568e+16,
|
| 119 |
+
"train_batch_size": 64,
|
| 120 |
"trial_name": null,
|
| 121 |
"trial_params": null
|
| 122 |
}
|