End of training
Browse files- all_results.json +9 -9
- eval_results.json +5 -5
- train_results.json +4 -4
- trainer_state.json +43 -30
all_results.json
CHANGED
|
@@ -1,15 +1,15 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 3.0,
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
"eval_samples": 12908,
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_steps_per_second": 0.
|
| 9 |
"total_flos": 2.377533515518771e+16,
|
| 10 |
-
"train_loss":
|
| 11 |
-
"train_runtime":
|
| 12 |
"train_samples": 30117,
|
| 13 |
-
"train_samples_per_second": 1.
|
| 14 |
-
"train_steps_per_second": 0.
|
| 15 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 3.0,
|
| 3 |
+
"eval_f1": 0.8045510528812365,
|
| 4 |
+
"eval_loss": 0.6810711622238159,
|
| 5 |
+
"eval_runtime": 1951.2993,
|
| 6 |
"eval_samples": 12908,
|
| 7 |
+
"eval_samples_per_second": 6.615,
|
| 8 |
+
"eval_steps_per_second": 0.207,
|
| 9 |
"total_flos": 2.377533515518771e+16,
|
| 10 |
+
"train_loss": 0.9083002715438119,
|
| 11 |
+
"train_runtime": 52770.4686,
|
| 12 |
"train_samples": 30117,
|
| 13 |
+
"train_samples_per_second": 1.712,
|
| 14 |
+
"train_steps_per_second": 0.054
|
| 15 |
}
|
eval_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 3.0,
|
| 3 |
-
"eval_f1": 0.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_runtime":
|
| 6 |
"eval_samples": 12908,
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_steps_per_second": 0.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 3.0,
|
| 3 |
+
"eval_f1": 0.8045510528812365,
|
| 4 |
+
"eval_loss": 0.6810711622238159,
|
| 5 |
+
"eval_runtime": 1951.2993,
|
| 6 |
"eval_samples": 12908,
|
| 7 |
+
"eval_samples_per_second": 6.615,
|
| 8 |
+
"eval_steps_per_second": 0.207
|
| 9 |
}
|
train_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 3.0,
|
| 3 |
"total_flos": 2.377533515518771e+16,
|
| 4 |
-
"train_loss":
|
| 5 |
-
"train_runtime":
|
| 6 |
"train_samples": 30117,
|
| 7 |
-
"train_samples_per_second": 1.
|
| 8 |
-
"train_steps_per_second": 0.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 3.0,
|
| 3 |
"total_flos": 2.377533515518771e+16,
|
| 4 |
+
"train_loss": 0.9083002715438119,
|
| 5 |
+
"train_runtime": 52770.4686,
|
| 6 |
"train_samples": 30117,
|
| 7 |
+
"train_samples_per_second": 1.712,
|
| 8 |
+
"train_steps_per_second": 0.054
|
| 9 |
}
|
trainer_state.json
CHANGED
|
@@ -2,55 +2,68 @@
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 3.0,
|
| 5 |
-
"eval_steps":
|
| 6 |
"global_step": 2826,
|
| 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
|
| 13 |
-
"grad_norm":
|
| 14 |
-
"learning_rate":
|
| 15 |
-
"loss":
|
| 16 |
-
"step":
|
| 17 |
},
|
| 18 |
{
|
| 19 |
-
"epoch": 1.
|
| 20 |
-
"
|
| 21 |
-
"
|
| 22 |
-
"
|
| 23 |
-
"
|
|
|
|
|
|
|
| 24 |
},
|
| 25 |
{
|
| 26 |
-
"epoch":
|
| 27 |
-
"grad_norm":
|
| 28 |
-
"learning_rate":
|
| 29 |
-
"loss": 0.
|
| 30 |
-
"step":
|
| 31 |
},
|
| 32 |
{
|
| 33 |
-
"epoch": 2.
|
| 34 |
-
"
|
| 35 |
-
"
|
| 36 |
-
"
|
| 37 |
-
"
|
|
|
|
|
|
|
| 38 |
},
|
| 39 |
{
|
| 40 |
-
"epoch":
|
| 41 |
-
"grad_norm":
|
| 42 |
-
"learning_rate":
|
| 43 |
-
"loss": 0.
|
| 44 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 3.0,
|
| 48 |
"step": 2826,
|
| 49 |
"total_flos": 2.377533515518771e+16,
|
| 50 |
-
"train_loss":
|
| 51 |
-
"train_runtime":
|
| 52 |
-
"train_samples_per_second": 1.
|
| 53 |
-
"train_steps_per_second": 0.
|
| 54 |
}
|
| 55 |
],
|
| 56 |
"logging_steps": 500,
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 3.0,
|
| 5 |
+
"eval_steps": 300.0,
|
| 6 |
"global_step": 2826,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
| 9 |
"is_world_process_zero": true,
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
+
"epoch": 1.0,
|
| 13 |
+
"grad_norm": 15.699420928955078,
|
| 14 |
+
"learning_rate": 1.6927223719676552e-05,
|
| 15 |
+
"loss": 1.5106,
|
| 16 |
+
"step": 942
|
| 17 |
},
|
| 18 |
{
|
| 19 |
+
"epoch": 1.0,
|
| 20 |
+
"eval_f1": 0.7668134917297256,
|
| 21 |
+
"eval_loss": 0.8142930269241333,
|
| 22 |
+
"eval_runtime": 1955.7939,
|
| 23 |
+
"eval_samples_per_second": 6.6,
|
| 24 |
+
"eval_steps_per_second": 0.207,
|
| 25 |
+
"step": 942
|
| 26 |
},
|
| 27 |
{
|
| 28 |
+
"epoch": 2.0,
|
| 29 |
+
"grad_norm": 4.08961820602417,
|
| 30 |
+
"learning_rate": 8.463611859838276e-06,
|
| 31 |
+
"loss": 0.7033,
|
| 32 |
+
"step": 1884
|
| 33 |
},
|
| 34 |
{
|
| 35 |
+
"epoch": 2.0,
|
| 36 |
+
"eval_f1": 0.7984619452840845,
|
| 37 |
+
"eval_loss": 0.6980345845222473,
|
| 38 |
+
"eval_runtime": 1952.7483,
|
| 39 |
+
"eval_samples_per_second": 6.61,
|
| 40 |
+
"eval_steps_per_second": 0.207,
|
| 41 |
+
"step": 1884
|
| 42 |
},
|
| 43 |
{
|
| 44 |
+
"epoch": 3.0,
|
| 45 |
+
"grad_norm": 25.8586483001709,
|
| 46 |
+
"learning_rate": 0.0,
|
| 47 |
+
"loss": 0.511,
|
| 48 |
+
"step": 2826
|
| 49 |
+
},
|
| 50 |
+
{
|
| 51 |
+
"epoch": 3.0,
|
| 52 |
+
"eval_f1": 0.8045510528812365,
|
| 53 |
+
"eval_loss": 0.6810711622238159,
|
| 54 |
+
"eval_runtime": 1950.0401,
|
| 55 |
+
"eval_samples_per_second": 6.619,
|
| 56 |
+
"eval_steps_per_second": 0.207,
|
| 57 |
+
"step": 2826
|
| 58 |
},
|
| 59 |
{
|
| 60 |
"epoch": 3.0,
|
| 61 |
"step": 2826,
|
| 62 |
"total_flos": 2.377533515518771e+16,
|
| 63 |
+
"train_loss": 0.9083002715438119,
|
| 64 |
+
"train_runtime": 52770.4686,
|
| 65 |
+
"train_samples_per_second": 1.712,
|
| 66 |
+
"train_steps_per_second": 0.054
|
| 67 |
}
|
| 68 |
],
|
| 69 |
"logging_steps": 500,
|