ShengdingHu
commited on
Commit
•
1b95b8c
1
Parent(s):
69f0801
Training in progress, step 50
Browse files- all_results.json +15 -15
- eval_results.json +6 -6
- pytorch_model.bin +2 -2
- runs/Feb01_01-06-37_node1/events.out.tfevents.1643648950.node1 +2 -2
- runs/Feb01_01-06-37_node1/events.out.tfevents.1643649170.node1 +3 -0
- runs/Feb02_15-36-39_node1/1643787501.4051788/events.out.tfevents.1643787501.node1 +3 -0
- runs/Feb02_15-36-39_node1/events.out.tfevents.1643787501.node1 +3 -0
- test_results.json +6 -6
- train_results.json +5 -5
- trainer_state.json +90 -39
- training_args.bin +1 -1
- training_config.json +1 -1
all_results.json
CHANGED
@@ -1,18 +1,18 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy":
|
4 |
-
"eval_average_metrics":
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_runtime": 0.
|
7 |
-
"eval_samples_per_second":
|
8 |
-
"test_accuracy":
|
9 |
-
"test_average_metrics":
|
10 |
-
"test_loss": 0.
|
11 |
-
"test_runtime": 0.
|
12 |
-
"test_samples_per_second":
|
13 |
-
"train_loss": 0.
|
14 |
-
"train_runtime":
|
15 |
"train_samples": 400,
|
16 |
-
"train_samples_per_second":
|
17 |
-
"train_steps_per_second": 2.
|
18 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"eval_accuracy": 54.0,
|
4 |
+
"eval_average_metrics": 54.0,
|
5 |
+
"eval_loss": 0.29293137788772583,
|
6 |
+
"eval_runtime": 0.3662,
|
7 |
+
"eval_samples_per_second": 136.552,
|
8 |
+
"test_accuracy": 52.0,
|
9 |
+
"test_average_metrics": 52.0,
|
10 |
+
"test_loss": 0.28209835290908813,
|
11 |
+
"test_runtime": 0.3997,
|
12 |
+
"test_samples_per_second": 125.094,
|
13 |
+
"train_loss": 0.18321549898156753,
|
14 |
+
"train_runtime": 219.7861,
|
15 |
"train_samples": 400,
|
16 |
+
"train_samples_per_second": 72.798,
|
17 |
+
"train_steps_per_second": 2.366
|
18 |
}
|
eval_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"eval_accuracy":
|
4 |
-
"eval_average_metrics":
|
5 |
-
"eval_loss": 0.
|
6 |
-
"eval_runtime": 0.
|
7 |
-
"eval_samples_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"eval_accuracy": 54.0,
|
4 |
+
"eval_average_metrics": 54.0,
|
5 |
+
"eval_loss": 0.29293137788772583,
|
6 |
+
"eval_runtime": 0.3662,
|
7 |
+
"eval_samples_per_second": 136.552
|
8 |
}
|
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 sha256:615d83a030dfaea92497a8df95a41acb7f6517ebddd6b1b87e1356174aaad9b1
|
3 |
+
size 2631685
|
runs/Feb01_01-06-37_node1/events.out.tfevents.1643648950.node1
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:f755d9d8522438f177d99db906ad50f4e49819757e581a89654b3e23b4dd2975
|
3 |
+
size 8047
|
runs/Feb01_01-06-37_node1/events.out.tfevents.1643649170.node1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c145b61bc84703439a6304ebe14d0ce65c3d44fd6dfce886724d9823c76198ac
|
3 |
+
size 684
|
runs/Feb02_15-36-39_node1/1643787501.4051788/events.out.tfevents.1643787501.node1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45de942c7728aa9c2815f1f011924005de5494c578a6c8a31ef2c9594c94b3af
|
3 |
+
size 5041
|
runs/Feb02_15-36-39_node1/events.out.tfevents.1643787501.node1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2ef62b884b6d099805f3ce90522786e70e966c8880b23400afa20e402af4fed
|
3 |
+
size 4328
|
test_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"test_accuracy":
|
4 |
-
"test_average_metrics":
|
5 |
-
"test_loss": 0.
|
6 |
-
"test_runtime": 0.
|
7 |
-
"test_samples_per_second":
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"test_accuracy": 52.0,
|
4 |
+
"test_average_metrics": 52.0,
|
5 |
+
"test_loss": 0.28209835290908813,
|
6 |
+
"test_runtime": 0.3997,
|
7 |
+
"test_samples_per_second": 125.094
|
8 |
}
|
train_results.json
CHANGED
@@ -1,8 +1,8 @@
|
|
1 |
{
|
2 |
-
"epoch":
|
3 |
-
"train_loss": 0.
|
4 |
-
"train_runtime":
|
5 |
"train_samples": 400,
|
6 |
-
"train_samples_per_second":
|
7 |
-
"train_steps_per_second": 2.
|
8 |
}
|
|
|
1 |
{
|
2 |
+
"epoch": 40.0,
|
3 |
+
"train_loss": 0.18321549898156753,
|
4 |
+
"train_runtime": 219.7861,
|
5 |
"train_samples": 400,
|
6 |
+
"train_samples_per_second": 72.798,
|
7 |
+
"train_steps_per_second": 2.366
|
8 |
}
|
trainer_state.json
CHANGED
@@ -1,70 +1,121 @@
|
|
1 |
{
|
2 |
-
"best_metric":
|
3 |
-
"best_model_checkpoint": "outputs/bitfit/t5-base/superglue-copa/checkpoint-
|
4 |
-
"epoch":
|
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": 3.85,
|
12 |
-
"eval_accuracy":
|
13 |
-
"eval_average_metrics":
|
14 |
-
"eval_loss": 0.
|
15 |
-
"eval_runtime": 0.
|
16 |
-
"eval_samples_per_second":
|
17 |
"step": 50
|
18 |
},
|
19 |
{
|
20 |
"epoch": 7.69,
|
21 |
-
"eval_accuracy":
|
22 |
-
"eval_average_metrics":
|
23 |
-
"eval_loss": 0.
|
24 |
-
"eval_runtime": 0.
|
25 |
-
"eval_samples_per_second":
|
26 |
"step": 100
|
27 |
},
|
28 |
{
|
29 |
"epoch": 11.54,
|
30 |
-
"eval_accuracy":
|
31 |
-
"eval_average_metrics":
|
32 |
-
"eval_loss": 0.
|
33 |
-
"eval_runtime": 0.
|
34 |
-
"eval_samples_per_second":
|
35 |
"step": 150
|
36 |
},
|
37 |
{
|
38 |
"epoch": 15.38,
|
39 |
-
"eval_accuracy":
|
40 |
-
"eval_average_metrics":
|
41 |
-
"eval_loss": 0.
|
42 |
-
"eval_runtime": 0.
|
43 |
-
"eval_samples_per_second":
|
44 |
"step": 200
|
45 |
},
|
46 |
{
|
47 |
"epoch": 19.23,
|
48 |
-
"eval_accuracy":
|
49 |
-
"eval_average_metrics":
|
50 |
-
"eval_loss": 0.
|
51 |
-
"eval_runtime": 0.
|
52 |
-
"eval_samples_per_second":
|
53 |
"step": 250
|
54 |
},
|
55 |
{
|
56 |
-
"epoch":
|
57 |
-
"
|
58 |
-
"
|
59 |
-
"
|
60 |
-
"
|
61 |
-
"
|
62 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
63 |
}
|
64 |
],
|
65 |
-
"max_steps":
|
66 |
-
"num_train_epochs":
|
67 |
-
"total_flos":
|
68 |
"trial_name": null,
|
69 |
"trial_params": null
|
70 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 54.0,
|
3 |
+
"best_model_checkpoint": "outputs/bitfit/t5-base/superglue-copa/checkpoint-200",
|
4 |
+
"epoch": 40.0,
|
5 |
+
"global_step": 520,
|
6 |
"is_hyper_param_search": false,
|
7 |
"is_local_process_zero": true,
|
8 |
"is_world_process_zero": true,
|
9 |
"log_history": [
|
10 |
{
|
11 |
"epoch": 3.85,
|
12 |
+
"eval_accuracy": 50.0,
|
13 |
+
"eval_average_metrics": 50.0,
|
14 |
+
"eval_loss": 0.2800115942955017,
|
15 |
+
"eval_runtime": 0.3692,
|
16 |
+
"eval_samples_per_second": 135.418,
|
17 |
"step": 50
|
18 |
},
|
19 |
{
|
20 |
"epoch": 7.69,
|
21 |
+
"eval_accuracy": 42.0,
|
22 |
+
"eval_average_metrics": 42.0,
|
23 |
+
"eval_loss": 0.28102436661720276,
|
24 |
+
"eval_runtime": 0.4452,
|
25 |
+
"eval_samples_per_second": 112.304,
|
26 |
"step": 100
|
27 |
},
|
28 |
{
|
29 |
"epoch": 11.54,
|
30 |
+
"eval_accuracy": 52.0,
|
31 |
+
"eval_average_metrics": 52.0,
|
32 |
+
"eval_loss": 0.3020976185798645,
|
33 |
+
"eval_runtime": 0.3114,
|
34 |
+
"eval_samples_per_second": 160.544,
|
35 |
"step": 150
|
36 |
},
|
37 |
{
|
38 |
"epoch": 15.38,
|
39 |
+
"eval_accuracy": 54.0,
|
40 |
+
"eval_average_metrics": 54.0,
|
41 |
+
"eval_loss": 0.29293137788772583,
|
42 |
+
"eval_runtime": 0.5099,
|
43 |
+
"eval_samples_per_second": 98.067,
|
44 |
"step": 200
|
45 |
},
|
46 |
{
|
47 |
"epoch": 19.23,
|
48 |
+
"eval_accuracy": 50.0,
|
49 |
+
"eval_average_metrics": 50.0,
|
50 |
+
"eval_loss": 0.4718337953090668,
|
51 |
+
"eval_runtime": 0.2966,
|
52 |
+
"eval_samples_per_second": 168.586,
|
53 |
"step": 250
|
54 |
},
|
55 |
{
|
56 |
+
"epoch": 23.08,
|
57 |
+
"eval_accuracy": 48.0,
|
58 |
+
"eval_average_metrics": 48.0,
|
59 |
+
"eval_loss": 0.6855034828186035,
|
60 |
+
"eval_runtime": 0.3659,
|
61 |
+
"eval_samples_per_second": 136.664,
|
62 |
+
"step": 300
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 26.92,
|
66 |
+
"eval_accuracy": 48.0,
|
67 |
+
"eval_average_metrics": 48.0,
|
68 |
+
"eval_loss": 0.9259137511253357,
|
69 |
+
"eval_runtime": 0.5574,
|
70 |
+
"eval_samples_per_second": 89.705,
|
71 |
+
"step": 350
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 30.77,
|
75 |
+
"eval_accuracy": 44.0,
|
76 |
+
"eval_average_metrics": 44.0,
|
77 |
+
"eval_loss": 1.0988849401474,
|
78 |
+
"eval_runtime": 0.3043,
|
79 |
+
"eval_samples_per_second": 164.333,
|
80 |
+
"step": 400
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 34.62,
|
84 |
+
"eval_accuracy": 50.0,
|
85 |
+
"eval_average_metrics": 50.0,
|
86 |
+
"eval_loss": 1.1635206937789917,
|
87 |
+
"eval_runtime": 0.3906,
|
88 |
+
"eval_samples_per_second": 128.015,
|
89 |
+
"step": 450
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 38.46,
|
93 |
+
"learning_rate": 1.1538461538461538e-05,
|
94 |
+
"loss": 0.19,
|
95 |
+
"step": 500
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 38.46,
|
99 |
+
"eval_accuracy": 48.0,
|
100 |
+
"eval_average_metrics": 48.0,
|
101 |
+
"eval_loss": 1.2427139282226562,
|
102 |
+
"eval_runtime": 0.3254,
|
103 |
+
"eval_samples_per_second": 153.656,
|
104 |
+
"step": 500
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 40.0,
|
108 |
+
"step": 520,
|
109 |
+
"total_flos": 954277186351104.0,
|
110 |
+
"train_loss": 0.18321549898156753,
|
111 |
+
"train_runtime": 219.7861,
|
112 |
+
"train_samples_per_second": 72.798,
|
113 |
+
"train_steps_per_second": 2.366
|
114 |
}
|
115 |
],
|
116 |
+
"max_steps": 520,
|
117 |
+
"num_train_epochs": 40,
|
118 |
+
"total_flos": 954277186351104.0,
|
119 |
"trial_name": null,
|
120 |
"trial_params": null
|
121 |
}
|
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:cd7c9dde74bac513e1fc0b66b0b2e4cc06aea4079142ec3c5f7d32d3e1397850
|
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": "superglue-copa", "eval_steps": 50, "evaluation_strategy": "steps", "greater_is_better": true, "learning_rate": 0.0003, "load_best_model_at_end": true, "lora_r": 8, "max_source_length": 256, "metric_for_best_model": "average_metrics", "model_name_or_path": "../../../../plm_cache/t5-base", "num_train_epochs": 40, "output_dir": "outputs/bitfit/t5-base/superglue-copa", "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": 50, "save_strategy": "steps", "save_total_limit": 1, "seed": 42, "split_validation_test": true, "task_name": "superglue-copa", "test_dataset_config_name": ["en"], "test_dataset_name": "superglue-copa", "tokenizer_name": "../../../../plm_cache/t5-base", "unfrozen_modules": ["deltas", "layer_norm", "final_layer_norm"], "warmup_steps": 0}
|