Commit
·
114a0ce
1
Parent(s):
b16841a
Training in progress, step 100
Browse files- all_results.json +16 -16
- eval_results.json +6 -6
- pytorch_model.bin +2 -2
- runs/Feb01_01-54-14_node2/events.out.tfevents.1643651750.node2 +2 -2
- runs/Feb01_01-54-14_node2/events.out.tfevents.1643653061.node2 +3 -0
- runs/Feb02_16-04-14_node1/1643789122.211467/events.out.tfevents.1643789122.node1 +3 -0
- runs/Feb02_16-04-14_node1/events.out.tfevents.1643789122.node1 +3 -0
- test_results.json +6 -6
- tokenizer.json +0 -0
- train_results.json +4 -4
- trainer_state.json +392 -52
- training_args.bin +1 -1
- training_config.json +1 -1
all_results.json
CHANGED
|
@@ -1,20 +1,20 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
-
"eval_average_metrics": 89.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_pearson":
|
| 6 |
-
"eval_runtime":
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_spearmanr": 89.
|
| 9 |
-
"test_average_metrics": 90.
|
| 10 |
-
"test_loss": 0.
|
| 11 |
-
"test_pearson":
|
| 12 |
-
"test_runtime":
|
| 13 |
-
"test_samples_per_second":
|
| 14 |
-
"test_spearmanr": 90.
|
| 15 |
-
"train_loss": 0.
|
| 16 |
-
"train_runtime":
|
| 17 |
"train_samples": 5749,
|
| 18 |
-
"train_samples_per_second":
|
| 19 |
-
"train_steps_per_second":
|
| 20 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
+
"eval_average_metrics": 89.89082639431217,
|
| 4 |
+
"eval_loss": 0.8983659148216248,
|
| 5 |
+
"eval_pearson": 90.00270057438823,
|
| 6 |
+
"eval_runtime": 3.833,
|
| 7 |
+
"eval_samples_per_second": 195.668,
|
| 8 |
+
"eval_spearmanr": 89.77895221423611,
|
| 9 |
+
"test_average_metrics": 90.99334935734049,
|
| 10 |
+
"test_loss": 0.8893818259239197,
|
| 11 |
+
"test_pearson": 91.06607647471132,
|
| 12 |
+
"test_runtime": 3.8231,
|
| 13 |
+
"test_samples_per_second": 196.177,
|
| 14 |
+
"test_spearmanr": 90.92062223996967,
|
| 15 |
+
"train_loss": 0.6740480825636121,
|
| 16 |
+
"train_runtime": 1306.7363,
|
| 17 |
"train_samples": 5749,
|
| 18 |
+
"train_samples_per_second": 87.99,
|
| 19 |
+
"train_steps_per_second": 2.755
|
| 20 |
}
|
eval_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
-
"eval_average_metrics": 89.
|
| 4 |
-
"eval_loss": 0.
|
| 5 |
-
"eval_pearson":
|
| 6 |
-
"eval_runtime":
|
| 7 |
-
"eval_samples_per_second":
|
| 8 |
-
"eval_spearmanr": 89.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
+
"eval_average_metrics": 89.89082639431217,
|
| 4 |
+
"eval_loss": 0.8983659148216248,
|
| 5 |
+
"eval_pearson": 90.00270057438823,
|
| 6 |
+
"eval_runtime": 3.833,
|
| 7 |
+
"eval_samples_per_second": 195.668,
|
| 8 |
+
"eval_spearmanr": 89.77895221423611
|
| 9 |
}
|
pytorch_model.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:512205e7f78c8c9cf316579a829bf531100f40a04095c6cc03ce5a3e028c577a
|
| 3 |
+
size 2631685
|
runs/Feb01_01-54-14_node2/events.out.tfevents.1643651750.node2
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e5d1773ada3fbfae4b2ee4a1692b4db00b36e2781962d7f0e476a66365333ea7
|
| 3 |
+
size 19210
|
runs/Feb01_01-54-14_node2/events.out.tfevents.1643653061.node2
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f3f7ec707b58ddf15da5a06c161ece6ef540cfae8bed87bd8b466c7650e57f7b
|
| 3 |
+
size 788
|
runs/Feb02_16-04-14_node1/1643789122.211467/events.out.tfevents.1643789122.node1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6a609709ea354e2ad577ffd9b01e533020f55a5ca1595636296839f31d273b81
|
| 3 |
+
size 5011
|
runs/Feb02_16-04-14_node1/events.out.tfevents.1643789122.node1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6ca643587a88b00378d7b53734fcaf2eeabc788520b4d720fab251891457c363
|
| 3 |
+
size 4300
|
test_results.json
CHANGED
|
@@ -1,9 +1,9 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
-
"test_average_metrics": 90.
|
| 4 |
-
"test_loss": 0.
|
| 5 |
-
"test_pearson":
|
| 6 |
-
"test_runtime":
|
| 7 |
-
"test_samples_per_second":
|
| 8 |
-
"test_spearmanr": 90.
|
| 9 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
+
"test_average_metrics": 90.99334935734049,
|
| 4 |
+
"test_loss": 0.8893818259239197,
|
| 5 |
+
"test_pearson": 91.06607647471132,
|
| 6 |
+
"test_runtime": 3.8231,
|
| 7 |
+
"test_samples_per_second": 196.177,
|
| 8 |
+
"test_spearmanr": 90.92062223996967
|
| 9 |
}
|
tokenizer.json
CHANGED
|
The diff for this file is too large to render.
See raw diff
|
|
|
train_results.json
CHANGED
|
@@ -1,8 +1,8 @@
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
-
"train_loss": 0.
|
| 4 |
-
"train_runtime":
|
| 5 |
"train_samples": 5749,
|
| 6 |
-
"train_samples_per_second":
|
| 7 |
-
"train_steps_per_second":
|
| 8 |
}
|
|
|
|
| 1 |
{
|
| 2 |
"epoch": 20.0,
|
| 3 |
+
"train_loss": 0.6740480825636121,
|
| 4 |
+
"train_runtime": 1306.7363,
|
| 5 |
"train_samples": 5749,
|
| 6 |
+
"train_samples_per_second": 87.99,
|
| 7 |
+
"train_steps_per_second": 2.755
|
| 8 |
}
|
trainer_state.json
CHANGED
|
@@ -1,87 +1,427 @@
|
|
| 1 |
{
|
| 2 |
-
"best_metric": 89.
|
| 3 |
-
"best_model_checkpoint": "outputs/bitfit/t5-base/stsb/checkpoint-
|
| 4 |
"epoch": 20.0,
|
| 5 |
-
"global_step":
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
-
"epoch":
|
| 12 |
-
"eval_average_metrics":
|
| 13 |
-
"eval_loss": 0.
|
| 14 |
-
"eval_pearson":
|
| 15 |
-
"eval_runtime":
|
| 16 |
-
"eval_samples_per_second":
|
| 17 |
-
"eval_spearmanr":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 18 |
"step": 200
|
| 19 |
},
|
| 20 |
{
|
| 21 |
-
"epoch":
|
| 22 |
-
"eval_average_metrics": 88.
|
| 23 |
-
"eval_loss": 0.
|
| 24 |
-
"eval_pearson":
|
| 25 |
-
"eval_runtime":
|
| 26 |
-
"eval_samples_per_second":
|
| 27 |
-
"eval_spearmanr": 88.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 28 |
"step": 400
|
| 29 |
},
|
| 30 |
{
|
| 31 |
-
"epoch":
|
| 32 |
-
"learning_rate": 0.
|
| 33 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 34 |
"step": 500
|
| 35 |
},
|
| 36 |
{
|
| 37 |
-
"epoch":
|
| 38 |
-
"eval_average_metrics": 89.
|
| 39 |
-
"eval_loss": 0.
|
| 40 |
-
"eval_pearson": 89.
|
| 41 |
-
"eval_runtime":
|
| 42 |
-
"eval_samples_per_second":
|
| 43 |
-
"eval_spearmanr": 89.
|
| 44 |
"step": 600
|
| 45 |
},
|
| 46 |
{
|
| 47 |
-
"epoch":
|
| 48 |
-
"eval_average_metrics": 89.
|
| 49 |
-
"eval_loss": 0.
|
| 50 |
-
"eval_pearson": 89.
|
| 51 |
-
"eval_runtime":
|
| 52 |
-
"eval_samples_per_second":
|
| 53 |
-
"eval_spearmanr":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 54 |
"step": 800
|
| 55 |
},
|
| 56 |
{
|
| 57 |
-
"epoch":
|
| 58 |
-
"
|
| 59 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 60 |
"step": 1000
|
| 61 |
},
|
| 62 |
{
|
| 63 |
-
"epoch":
|
| 64 |
-
"eval_average_metrics": 89.
|
| 65 |
-
"eval_loss": 0.
|
| 66 |
-
"eval_pearson": 89.
|
| 67 |
-
"eval_runtime":
|
| 68 |
-
"eval_samples_per_second":
|
| 69 |
-
"eval_spearmanr": 89.
|
| 70 |
"step": 1000
|
| 71 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 72 |
{
|
| 73 |
"epoch": 20.0,
|
| 74 |
-
"step":
|
| 75 |
-
"total_flos": 1.
|
| 76 |
-
"train_loss": 0.
|
| 77 |
-
"train_runtime":
|
| 78 |
-
"train_samples_per_second":
|
| 79 |
-
"train_steps_per_second":
|
| 80 |
}
|
| 81 |
],
|
| 82 |
-
"max_steps":
|
| 83 |
"num_train_epochs": 20,
|
| 84 |
-
"total_flos": 1.
|
| 85 |
"trial_name": null,
|
| 86 |
"trial_params": null
|
| 87 |
}
|
|
|
|
| 1 |
{
|
| 2 |
+
"best_metric": 89.89082639431217,
|
| 3 |
+
"best_model_checkpoint": "outputs/bitfit/t5-base/stsb/checkpoint-900",
|
| 4 |
"epoch": 20.0,
|
| 5 |
+
"global_step": 3600,
|
| 6 |
"is_hyper_param_search": false,
|
| 7 |
"is_local_process_zero": true,
|
| 8 |
"is_world_process_zero": true,
|
| 9 |
"log_history": [
|
| 10 |
{
|
| 11 |
+
"epoch": 0.56,
|
| 12 |
+
"eval_average_metrics": 89.13717477824025,
|
| 13 |
+
"eval_loss": 0.9123751521110535,
|
| 14 |
+
"eval_pearson": 89.06474617714444,
|
| 15 |
+
"eval_runtime": 3.9799,
|
| 16 |
+
"eval_samples_per_second": 188.447,
|
| 17 |
+
"eval_spearmanr": 89.20960337933604,
|
| 18 |
+
"step": 100
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"epoch": 1.11,
|
| 22 |
+
"eval_average_metrics": 89.23837198704238,
|
| 23 |
+
"eval_loss": 0.90521639585495,
|
| 24 |
+
"eval_pearson": 89.21696934784924,
|
| 25 |
+
"eval_runtime": 2.8408,
|
| 26 |
+
"eval_samples_per_second": 264.006,
|
| 27 |
+
"eval_spearmanr": 89.25977462623553,
|
| 28 |
"step": 200
|
| 29 |
},
|
| 30 |
{
|
| 31 |
+
"epoch": 1.67,
|
| 32 |
+
"eval_average_metrics": 88.85409457301812,
|
| 33 |
+
"eval_loss": 0.8948209881782532,
|
| 34 |
+
"eval_pearson": 88.76416701427588,
|
| 35 |
+
"eval_runtime": 3.5011,
|
| 36 |
+
"eval_samples_per_second": 214.217,
|
| 37 |
+
"eval_spearmanr": 88.94402213176035,
|
| 38 |
+
"step": 300
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 2.22,
|
| 42 |
+
"eval_average_metrics": 88.89962091835693,
|
| 43 |
+
"eval_loss": 0.8898776173591614,
|
| 44 |
+
"eval_pearson": 88.91820308047936,
|
| 45 |
+
"eval_runtime": 3.1447,
|
| 46 |
+
"eval_samples_per_second": 238.499,
|
| 47 |
+
"eval_spearmanr": 88.8810387562345,
|
| 48 |
"step": 400
|
| 49 |
},
|
| 50 |
{
|
| 51 |
+
"epoch": 2.78,
|
| 52 |
+
"learning_rate": 0.00025833333333333334,
|
| 53 |
+
"loss": 0.8458,
|
| 54 |
+
"step": 500
|
| 55 |
+
},
|
| 56 |
+
{
|
| 57 |
+
"epoch": 2.78,
|
| 58 |
+
"eval_average_metrics": 89.72250747135166,
|
| 59 |
+
"eval_loss": 0.8902953863143921,
|
| 60 |
+
"eval_pearson": 89.89215489261863,
|
| 61 |
+
"eval_runtime": 4.5165,
|
| 62 |
+
"eval_samples_per_second": 166.059,
|
| 63 |
+
"eval_spearmanr": 89.55286005008469,
|
| 64 |
"step": 500
|
| 65 |
},
|
| 66 |
{
|
| 67 |
+
"epoch": 3.33,
|
| 68 |
+
"eval_average_metrics": 89.46605644881728,
|
| 69 |
+
"eval_loss": 0.927269697189331,
|
| 70 |
+
"eval_pearson": 89.51595346590146,
|
| 71 |
+
"eval_runtime": 4.621,
|
| 72 |
+
"eval_samples_per_second": 162.302,
|
| 73 |
+
"eval_spearmanr": 89.41615943173312,
|
| 74 |
"step": 600
|
| 75 |
},
|
| 76 |
{
|
| 77 |
+
"epoch": 3.89,
|
| 78 |
+
"eval_average_metrics": 89.25697052652335,
|
| 79 |
+
"eval_loss": 0.8973984122276306,
|
| 80 |
+
"eval_pearson": 89.47540644836778,
|
| 81 |
+
"eval_runtime": 3.2452,
|
| 82 |
+
"eval_samples_per_second": 231.108,
|
| 83 |
+
"eval_spearmanr": 89.03853460467892,
|
| 84 |
+
"step": 700
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"epoch": 4.44,
|
| 88 |
+
"eval_average_metrics": 89.77994978800227,
|
| 89 |
+
"eval_loss": 0.9015573859214783,
|
| 90 |
+
"eval_pearson": 89.98660087713056,
|
| 91 |
+
"eval_runtime": 5.9734,
|
| 92 |
+
"eval_samples_per_second": 125.557,
|
| 93 |
+
"eval_spearmanr": 89.57329869887398,
|
| 94 |
"step": 800
|
| 95 |
},
|
| 96 |
{
|
| 97 |
+
"epoch": 5.0,
|
| 98 |
+
"eval_average_metrics": 89.89082639431217,
|
| 99 |
+
"eval_loss": 0.8983659148216248,
|
| 100 |
+
"eval_pearson": 90.00270057438823,
|
| 101 |
+
"eval_runtime": 4.0652,
|
| 102 |
+
"eval_samples_per_second": 184.494,
|
| 103 |
+
"eval_spearmanr": 89.77895221423611,
|
| 104 |
+
"step": 900
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 5.56,
|
| 108 |
+
"learning_rate": 0.00021666666666666666,
|
| 109 |
+
"loss": 0.7859,
|
| 110 |
"step": 1000
|
| 111 |
},
|
| 112 |
{
|
| 113 |
+
"epoch": 5.56,
|
| 114 |
+
"eval_average_metrics": 89.15652744561595,
|
| 115 |
+
"eval_loss": 0.9311385154724121,
|
| 116 |
+
"eval_pearson": 89.25999907777292,
|
| 117 |
+
"eval_runtime": 3.1115,
|
| 118 |
+
"eval_samples_per_second": 241.042,
|
| 119 |
+
"eval_spearmanr": 89.053055813459,
|
| 120 |
"step": 1000
|
| 121 |
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 6.11,
|
| 124 |
+
"eval_average_metrics": 89.36900055711244,
|
| 125 |
+
"eval_loss": 0.914900541305542,
|
| 126 |
+
"eval_pearson": 89.48560950002296,
|
| 127 |
+
"eval_runtime": 4.2641,
|
| 128 |
+
"eval_samples_per_second": 175.886,
|
| 129 |
+
"eval_spearmanr": 89.25239161420193,
|
| 130 |
+
"step": 1100
|
| 131 |
+
},
|
| 132 |
+
{
|
| 133 |
+
"epoch": 6.67,
|
| 134 |
+
"eval_average_metrics": 89.41410457111328,
|
| 135 |
+
"eval_loss": 0.9506754279136658,
|
| 136 |
+
"eval_pearson": 89.45609872168974,
|
| 137 |
+
"eval_runtime": 3.0012,
|
| 138 |
+
"eval_samples_per_second": 249.9,
|
| 139 |
+
"eval_spearmanr": 89.37211042053684,
|
| 140 |
+
"step": 1200
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 7.22,
|
| 144 |
+
"eval_average_metrics": 89.44094336465075,
|
| 145 |
+
"eval_loss": 0.953001081943512,
|
| 146 |
+
"eval_pearson": 89.51193389114643,
|
| 147 |
+
"eval_runtime": 2.7971,
|
| 148 |
+
"eval_samples_per_second": 268.139,
|
| 149 |
+
"eval_spearmanr": 89.36995283815507,
|
| 150 |
+
"step": 1300
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 7.78,
|
| 154 |
+
"eval_average_metrics": 89.17605484273516,
|
| 155 |
+
"eval_loss": 0.9723613262176514,
|
| 156 |
+
"eval_pearson": 89.21895062324246,
|
| 157 |
+
"eval_runtime": 3.7026,
|
| 158 |
+
"eval_samples_per_second": 202.559,
|
| 159 |
+
"eval_spearmanr": 89.13315906222785,
|
| 160 |
+
"step": 1400
|
| 161 |
+
},
|
| 162 |
+
{
|
| 163 |
+
"epoch": 8.33,
|
| 164 |
+
"learning_rate": 0.000175,
|
| 165 |
+
"loss": 0.724,
|
| 166 |
+
"step": 1500
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 8.33,
|
| 170 |
+
"eval_average_metrics": 89.48308644886173,
|
| 171 |
+
"eval_loss": 0.9874196648597717,
|
| 172 |
+
"eval_pearson": 89.5217033530652,
|
| 173 |
+
"eval_runtime": 3.886,
|
| 174 |
+
"eval_samples_per_second": 193.003,
|
| 175 |
+
"eval_spearmanr": 89.44446954465825,
|
| 176 |
+
"step": 1500
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 8.89,
|
| 180 |
+
"eval_average_metrics": 89.79760216722264,
|
| 181 |
+
"eval_loss": 0.9869381785392761,
|
| 182 |
+
"eval_pearson": 89.95375320955753,
|
| 183 |
+
"eval_runtime": 4.168,
|
| 184 |
+
"eval_samples_per_second": 179.942,
|
| 185 |
+
"eval_spearmanr": 89.64145112488774,
|
| 186 |
+
"step": 1600
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 9.44,
|
| 190 |
+
"eval_average_metrics": 89.29279708906819,
|
| 191 |
+
"eval_loss": 0.9963127970695496,
|
| 192 |
+
"eval_pearson": 89.46662281864026,
|
| 193 |
+
"eval_runtime": 3.4947,
|
| 194 |
+
"eval_samples_per_second": 214.608,
|
| 195 |
+
"eval_spearmanr": 89.11897135949613,
|
| 196 |
+
"step": 1700
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 10.0,
|
| 200 |
+
"eval_average_metrics": 89.79299996621938,
|
| 201 |
+
"eval_loss": 0.9937890768051147,
|
| 202 |
+
"eval_pearson": 89.88666855723739,
|
| 203 |
+
"eval_runtime": 4.5917,
|
| 204 |
+
"eval_samples_per_second": 163.339,
|
| 205 |
+
"eval_spearmanr": 89.69933137520137,
|
| 206 |
+
"step": 1800
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 10.56,
|
| 210 |
+
"eval_average_metrics": 89.27048678268574,
|
| 211 |
+
"eval_loss": 1.006996750831604,
|
| 212 |
+
"eval_pearson": 89.39560825429157,
|
| 213 |
+
"eval_runtime": 3.591,
|
| 214 |
+
"eval_samples_per_second": 208.856,
|
| 215 |
+
"eval_spearmanr": 89.1453653110799,
|
| 216 |
+
"step": 1900
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 11.11,
|
| 220 |
+
"learning_rate": 0.0001333333333333333,
|
| 221 |
+
"loss": 0.6693,
|
| 222 |
+
"step": 2000
|
| 223 |
+
},
|
| 224 |
+
{
|
| 225 |
+
"epoch": 11.11,
|
| 226 |
+
"eval_average_metrics": 89.62053083130016,
|
| 227 |
+
"eval_loss": 1.0332725048065186,
|
| 228 |
+
"eval_pearson": 89.69477341302792,
|
| 229 |
+
"eval_runtime": 3.768,
|
| 230 |
+
"eval_samples_per_second": 199.043,
|
| 231 |
+
"eval_spearmanr": 89.54628824957238,
|
| 232 |
+
"step": 2000
|
| 233 |
+
},
|
| 234 |
+
{
|
| 235 |
+
"epoch": 11.67,
|
| 236 |
+
"eval_average_metrics": 89.13711909449259,
|
| 237 |
+
"eval_loss": 1.0669463872909546,
|
| 238 |
+
"eval_pearson": 89.29635083082506,
|
| 239 |
+
"eval_runtime": 3.5887,
|
| 240 |
+
"eval_samples_per_second": 208.99,
|
| 241 |
+
"eval_spearmanr": 88.97788735816013,
|
| 242 |
+
"step": 2100
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 12.22,
|
| 246 |
+
"eval_average_metrics": 89.42971483116142,
|
| 247 |
+
"eval_loss": 1.0573464632034302,
|
| 248 |
+
"eval_pearson": 89.58674143842262,
|
| 249 |
+
"eval_runtime": 3.0808,
|
| 250 |
+
"eval_samples_per_second": 243.441,
|
| 251 |
+
"eval_spearmanr": 89.2726882239002,
|
| 252 |
+
"step": 2200
|
| 253 |
+
},
|
| 254 |
+
{
|
| 255 |
+
"epoch": 12.78,
|
| 256 |
+
"eval_average_metrics": 89.42097809467734,
|
| 257 |
+
"eval_loss": 1.0824470520019531,
|
| 258 |
+
"eval_pearson": 89.54344639693154,
|
| 259 |
+
"eval_runtime": 3.8679,
|
| 260 |
+
"eval_samples_per_second": 193.903,
|
| 261 |
+
"eval_spearmanr": 89.29850979242312,
|
| 262 |
+
"step": 2300
|
| 263 |
+
},
|
| 264 |
+
{
|
| 265 |
+
"epoch": 13.33,
|
| 266 |
+
"eval_average_metrics": 89.38136709242659,
|
| 267 |
+
"eval_loss": 1.0812472105026245,
|
| 268 |
+
"eval_pearson": 89.52312670086297,
|
| 269 |
+
"eval_runtime": 3.7051,
|
| 270 |
+
"eval_samples_per_second": 202.426,
|
| 271 |
+
"eval_spearmanr": 89.23960748399018,
|
| 272 |
+
"step": 2400
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 13.89,
|
| 276 |
+
"learning_rate": 9.166666666666667e-05,
|
| 277 |
+
"loss": 0.6142,
|
| 278 |
+
"step": 2500
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 13.89,
|
| 282 |
+
"eval_average_metrics": 89.82337151387273,
|
| 283 |
+
"eval_loss": 1.0920954942703247,
|
| 284 |
+
"eval_pearson": 89.99504557050292,
|
| 285 |
+
"eval_runtime": 3.8424,
|
| 286 |
+
"eval_samples_per_second": 195.19,
|
| 287 |
+
"eval_spearmanr": 89.65169745724253,
|
| 288 |
+
"step": 2500
|
| 289 |
+
},
|
| 290 |
+
{
|
| 291 |
+
"epoch": 14.44,
|
| 292 |
+
"eval_average_metrics": 89.56749485985972,
|
| 293 |
+
"eval_loss": 1.1302155256271362,
|
| 294 |
+
"eval_pearson": 89.70885507009902,
|
| 295 |
+
"eval_runtime": 3.9276,
|
| 296 |
+
"eval_samples_per_second": 190.954,
|
| 297 |
+
"eval_spearmanr": 89.42613464962042,
|
| 298 |
+
"step": 2600
|
| 299 |
+
},
|
| 300 |
+
{
|
| 301 |
+
"epoch": 15.0,
|
| 302 |
+
"eval_average_metrics": 89.61009900620351,
|
| 303 |
+
"eval_loss": 1.14012610912323,
|
| 304 |
+
"eval_pearson": 89.68171447646405,
|
| 305 |
+
"eval_runtime": 3.7232,
|
| 306 |
+
"eval_samples_per_second": 201.438,
|
| 307 |
+
"eval_spearmanr": 89.53848353594297,
|
| 308 |
+
"step": 2700
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 15.56,
|
| 312 |
+
"eval_average_metrics": 89.27459685358238,
|
| 313 |
+
"eval_loss": 1.1592134237289429,
|
| 314 |
+
"eval_pearson": 89.32968690818579,
|
| 315 |
+
"eval_runtime": 4.52,
|
| 316 |
+
"eval_samples_per_second": 165.929,
|
| 317 |
+
"eval_spearmanr": 89.21950679897895,
|
| 318 |
+
"step": 2800
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 16.11,
|
| 322 |
+
"eval_average_metrics": 89.65586988882487,
|
| 323 |
+
"eval_loss": 1.1740944385528564,
|
| 324 |
+
"eval_pearson": 89.72543322190315,
|
| 325 |
+
"eval_runtime": 3.2065,
|
| 326 |
+
"eval_samples_per_second": 233.903,
|
| 327 |
+
"eval_spearmanr": 89.5863065557466,
|
| 328 |
+
"step": 2900
|
| 329 |
+
},
|
| 330 |
+
{
|
| 331 |
+
"epoch": 16.67,
|
| 332 |
+
"learning_rate": 4.9999999999999996e-05,
|
| 333 |
+
"loss": 0.5671,
|
| 334 |
+
"step": 3000
|
| 335 |
+
},
|
| 336 |
+
{
|
| 337 |
+
"epoch": 16.67,
|
| 338 |
+
"eval_average_metrics": 89.74259369919744,
|
| 339 |
+
"eval_loss": 1.1778316497802734,
|
| 340 |
+
"eval_pearson": 89.82066967172904,
|
| 341 |
+
"eval_runtime": 3.705,
|
| 342 |
+
"eval_samples_per_second": 202.432,
|
| 343 |
+
"eval_spearmanr": 89.66451772666586,
|
| 344 |
+
"step": 3000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 17.22,
|
| 348 |
+
"eval_average_metrics": 89.67436613731013,
|
| 349 |
+
"eval_loss": 1.1869001388549805,
|
| 350 |
+
"eval_pearson": 89.822535941685,
|
| 351 |
+
"eval_runtime": 4.6778,
|
| 352 |
+
"eval_samples_per_second": 160.331,
|
| 353 |
+
"eval_spearmanr": 89.52619633293524,
|
| 354 |
+
"step": 3100
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 17.78,
|
| 358 |
+
"eval_average_metrics": 89.64929997632476,
|
| 359 |
+
"eval_loss": 1.1901123523712158,
|
| 360 |
+
"eval_pearson": 89.78058123437394,
|
| 361 |
+
"eval_runtime": 3.3067,
|
| 362 |
+
"eval_samples_per_second": 226.812,
|
| 363 |
+
"eval_spearmanr": 89.51801871827558,
|
| 364 |
+
"step": 3200
|
| 365 |
+
},
|
| 366 |
+
{
|
| 367 |
+
"epoch": 18.33,
|
| 368 |
+
"eval_average_metrics": 89.78282294446872,
|
| 369 |
+
"eval_loss": 1.1919935941696167,
|
| 370 |
+
"eval_pearson": 89.9585327889659,
|
| 371 |
+
"eval_runtime": 4.0203,
|
| 372 |
+
"eval_samples_per_second": 186.553,
|
| 373 |
+
"eval_spearmanr": 89.60711309997154,
|
| 374 |
+
"step": 3300
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 18.89,
|
| 378 |
+
"eval_average_metrics": 89.64203906594571,
|
| 379 |
+
"eval_loss": 1.1938636302947998,
|
| 380 |
+
"eval_pearson": 89.76878899591361,
|
| 381 |
+
"eval_runtime": 2.5879,
|
| 382 |
+
"eval_samples_per_second": 289.807,
|
| 383 |
+
"eval_spearmanr": 89.51528913597781,
|
| 384 |
+
"step": 3400
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 19.44,
|
| 388 |
+
"learning_rate": 8.333333333333332e-06,
|
| 389 |
+
"loss": 0.5407,
|
| 390 |
+
"step": 3500
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 19.44,
|
| 394 |
+
"eval_average_metrics": 89.85580070489866,
|
| 395 |
+
"eval_loss": 1.2061032056808472,
|
| 396 |
+
"eval_pearson": 89.99507172793925,
|
| 397 |
+
"eval_runtime": 3.3291,
|
| 398 |
+
"eval_samples_per_second": 225.288,
|
| 399 |
+
"eval_spearmanr": 89.71652968185808,
|
| 400 |
+
"step": 3500
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"epoch": 20.0,
|
| 404 |
+
"eval_average_metrics": 89.66212005188657,
|
| 405 |
+
"eval_loss": 1.2073893547058105,
|
| 406 |
+
"eval_pearson": 89.79939157390831,
|
| 407 |
+
"eval_runtime": 3.5775,
|
| 408 |
+
"eval_samples_per_second": 209.645,
|
| 409 |
+
"eval_spearmanr": 89.52484852986483,
|
| 410 |
+
"step": 3600
|
| 411 |
+
},
|
| 412 |
{
|
| 413 |
"epoch": 20.0,
|
| 414 |
+
"step": 3600,
|
| 415 |
+
"total_flos": 1.2081375923975424e+16,
|
| 416 |
+
"train_loss": 0.6740480825636121,
|
| 417 |
+
"train_runtime": 1306.7363,
|
| 418 |
+
"train_samples_per_second": 87.99,
|
| 419 |
+
"train_steps_per_second": 2.755
|
| 420 |
}
|
| 421 |
],
|
| 422 |
+
"max_steps": 3600,
|
| 423 |
"num_train_epochs": 20,
|
| 424 |
+
"total_flos": 1.2081375923975424e+16,
|
| 425 |
"trial_name": null,
|
| 426 |
"trial_params": null
|
| 427 |
}
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 3183
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:1dae689eba1a2f300b89fa3369aa940714da48e58d5e0706f64c6a408dfeddb2
|
| 3 |
size 3183
|
training_config.json
CHANGED
|
@@ -1 +1 @@
|
|
| 1 |
-
{"
|
|
|
|
| 1 |
+
{"dataset_config_name": ["en"], "delta_type": "lora", "do_eval": true, "do_test": true, "do_train": true, "eval_dataset_config_name": ["en"], "eval_dataset_name": "stsb", "eval_steps": 100, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.0003, "load_best_model_at_end": true, "lora_r": 8, "max_source_length": 128, "metric_for_best_model": "average_metrics", "model_name_or_path": "../../../../plm_cache/t5-base", "num_train_epochs": 20, "output_dir": "outputs/bitfit/t5-base/stsb", "overwrite_output_dir": true, "per_device_eval_batch_size": 32, "per_device_train_batch_size": 32, "predict_with_generate": true, "push_to_hub": true, "save_steps": 100, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "stsb", "test_dataset_config_name": ["en"], "test_dataset_name": "stsb", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas", "layer_norm", "final_layer_norm"], "warmup_steps": 0}
|