Upload 14 files
Browse files- config.json +2 -2
- model.safetensors +2 -2
- optimizer.pt +2 -2
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- scheduler.pt +1 -1
- trainer_state.json +262 -104
- training_args.bin +1 -1
config.json
CHANGED
@@ -1,5 +1,5 @@
|
|
1 |
{
|
2 |
-
"_name_or_path": "microsoft/
|
3 |
"architectures": [
|
4 |
"DebertaV2ForSequenceClassification"
|
5 |
],
|
@@ -42,5 +42,5 @@
|
|
42 |
"torch_dtype": "float32",
|
43 |
"transformers_version": "4.46.3",
|
44 |
"type_vocab_size": 0,
|
45 |
-
"vocab_size":
|
46 |
}
|
|
|
1 |
{
|
2 |
+
"_name_or_path": "microsoft/mdeberta-v3-base",
|
3 |
"architectures": [
|
4 |
"DebertaV2ForSequenceClassification"
|
5 |
],
|
|
|
42 |
"torch_dtype": "float32",
|
43 |
"transformers_version": "4.46.3",
|
44 |
"type_vocab_size": 0,
|
45 |
+
"vocab_size": 251000
|
46 |
}
|
model.safetensors
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:a2c014245ee7a2d39769e223503c03bc2cca57313e7aa8543efcaa4b802a3f61
|
3 |
+
size 1115271284
|
optimizer.pt
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 sha256:1d9cabf3a82eb8e3c7d9c74c3f1cd32f6b4fe3199c1016050950c7fd5d3cac9a
|
3 |
+
size 2230662138
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:fba9836d3d5d131b179fe7b16872f0458f9ebf0e4b1ed6cead0b06f1011984f3
|
3 |
+
size 15984
|
rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b2a0c7025936f28ccadaeabad382f47beb7500bee229d6cadbca163725ffe1d4
|
3 |
+
size 15984
|
rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:1871450a718945b3a8f0c9b05f32928beaa2dff494f7f8ae0d7acbbe8ab99575
|
3 |
+
size 15984
|
rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4a278fb64096b400bcb71e42326226b98095346679b386a45020136626e71c84
|
3 |
+
size 15984
|
rng_state_4.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:85f8fd5c6381ed996cfc981c90e784927522bf727a148c2dc7644a129148cc28
|
3 |
+
size 15984
|
rng_state_5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e0280f37d29580c31bc7d1d6228c906b4878d32927af739cb82e4228ba73fd30
|
3 |
+
size 15984
|
rng_state_6.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:36d8cbfbca6b874820791af59a1b4320c909ebd361dd3955e8c6b7343461bb43
|
3 |
+
size 15984
|
rng_state_7.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cafaea57a4cda8ba3e730c6f5572f696d7c678648476ef37977a5cc4650e5e25
|
3 |
+
size 15984
|
scheduler.pt
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 1064
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8e6703b36d6b79a3ae4291228a28a3b0975b7538704440c681042f431f22e174
|
3 |
size 1064
|
trainer_state.json
CHANGED
@@ -1,168 +1,326 @@
|
|
1 |
{
|
2 |
-
"best_metric": 0.
|
3 |
-
"best_model_checkpoint": "/shevtsov/
|
4 |
-
"epoch":
|
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": 1.0,
|
13 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
"learning_rate": 5e-06,
|
15 |
-
"loss": 0.
|
16 |
-
"step":
|
17 |
},
|
18 |
{
|
19 |
"epoch": 1.0,
|
20 |
-
"eval_accuracy": 0.
|
21 |
-
"eval_f1": 0.
|
22 |
-
"eval_loss":
|
23 |
-
"eval_precision": 0.
|
24 |
-
"eval_recall": 0.
|
25 |
-
"eval_runtime":
|
26 |
-
"eval_samples_per_second":
|
27 |
-
"eval_steps_per_second":
|
28 |
-
"step":
|
29 |
},
|
30 |
{
|
31 |
"epoch": 2.0,
|
32 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
33 |
"learning_rate": 4.849231551964771e-06,
|
34 |
-
"loss": 0.
|
35 |
-
"step":
|
36 |
},
|
37 |
{
|
38 |
"epoch": 2.0,
|
39 |
-
"eval_accuracy": 0.
|
40 |
-
"eval_f1": 0.
|
41 |
-
"eval_loss": 0.
|
42 |
-
"eval_precision": 0.
|
43 |
-
"eval_recall": 0.
|
44 |
-
"eval_runtime":
|
45 |
-
"eval_samples_per_second":
|
46 |
-
"eval_steps_per_second":
|
47 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
48 |
},
|
49 |
{
|
50 |
"epoch": 3.0,
|
51 |
-
"grad_norm":
|
52 |
"learning_rate": 4.415111107797445e-06,
|
53 |
-
"loss": 0.
|
54 |
-
"step":
|
55 |
},
|
56 |
{
|
57 |
"epoch": 3.0,
|
58 |
-
"eval_accuracy": 0.
|
59 |
-
"eval_f1": 0.
|
60 |
-
"eval_loss":
|
61 |
-
"eval_precision": 0.
|
62 |
-
"eval_recall": 0.
|
63 |
-
"eval_runtime":
|
64 |
-
"eval_samples_per_second":
|
65 |
-
"eval_steps_per_second":
|
66 |
-
"step":
|
67 |
},
|
68 |
{
|
69 |
"epoch": 4.0,
|
70 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
71 |
"learning_rate": 3.7500000000000005e-06,
|
72 |
-
"loss": 0.
|
73 |
-
"step":
|
74 |
},
|
75 |
{
|
76 |
"epoch": 4.0,
|
77 |
-
"eval_accuracy": 0.
|
78 |
-
"eval_f1": 0.
|
79 |
-
"eval_loss":
|
80 |
-
"eval_precision": 0.
|
81 |
-
"eval_recall": 0.
|
82 |
-
"eval_runtime":
|
83 |
-
"eval_samples_per_second":
|
84 |
-
"eval_steps_per_second":
|
85 |
-
"step":
|
86 |
},
|
87 |
{
|
88 |
"epoch": 5.0,
|
89 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
90 |
"learning_rate": 2.9341204441673267e-06,
|
91 |
-
"loss": 0.
|
92 |
-
"step":
|
93 |
},
|
94 |
{
|
95 |
"epoch": 5.0,
|
96 |
-
"eval_accuracy": 0.
|
97 |
-
"eval_f1": 0.
|
98 |
-
"eval_loss":
|
99 |
-
"eval_precision": 0.
|
100 |
-
"eval_recall": 0.
|
101 |
-
"eval_runtime":
|
102 |
-
"eval_samples_per_second":
|
103 |
-
"eval_steps_per_second":
|
104 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
105 |
},
|
106 |
{
|
107 |
"epoch": 6.0,
|
108 |
-
"grad_norm":
|
109 |
"learning_rate": 2.0658795558326745e-06,
|
110 |
-
"loss": 0.
|
111 |
-
"step":
|
112 |
},
|
113 |
{
|
114 |
"epoch": 6.0,
|
115 |
-
"eval_accuracy": 0.
|
116 |
-
"eval_f1": 0.
|
117 |
-
"eval_loss":
|
118 |
-
"eval_precision": 0.
|
119 |
-
"eval_recall": 0.
|
120 |
-
"eval_runtime":
|
121 |
-
"eval_samples_per_second":
|
122 |
-
"eval_steps_per_second":
|
123 |
-
"step":
|
124 |
},
|
125 |
{
|
126 |
"epoch": 7.0,
|
127 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
128 |
"learning_rate": 1.2500000000000007e-06,
|
129 |
-
"loss": 0.
|
130 |
-
"step":
|
131 |
},
|
132 |
{
|
133 |
"epoch": 7.0,
|
134 |
-
"eval_accuracy": 0.
|
135 |
-
"eval_f1": 0.
|
136 |
-
"eval_loss":
|
137 |
-
"eval_precision": 0.
|
138 |
-
"eval_recall": 0.
|
139 |
-
"eval_runtime":
|
140 |
-
"eval_samples_per_second":
|
141 |
-
"eval_steps_per_second":
|
142 |
-
"step":
|
143 |
},
|
144 |
{
|
145 |
"epoch": 8.0,
|
146 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
147 |
"learning_rate": 5.848888922025553e-07,
|
148 |
-
"loss": 0.
|
149 |
-
"step":
|
150 |
},
|
151 |
{
|
152 |
"epoch": 8.0,
|
153 |
-
"eval_accuracy": 0.
|
154 |
-
"eval_f1": 0.
|
155 |
-
"eval_loss":
|
156 |
-
"eval_precision": 0.
|
157 |
-
"eval_recall": 0.
|
158 |
-
"eval_runtime":
|
159 |
-
"eval_samples_per_second":
|
160 |
-
"eval_steps_per_second":
|
161 |
-
"step":
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
162 |
}
|
163 |
],
|
164 |
"logging_steps": 500,
|
165 |
-
"max_steps":
|
166 |
"num_input_tokens_seen": 0,
|
167 |
"num_train_epochs": 10,
|
168 |
"save_steps": 500,
|
@@ -173,13 +331,13 @@
|
|
173 |
"should_evaluate": false,
|
174 |
"should_log": false,
|
175 |
"should_save": true,
|
176 |
-
"should_training_stop":
|
177 |
},
|
178 |
"attributes": {}
|
179 |
}
|
180 |
},
|
181 |
-
"total_flos":
|
182 |
-
"train_batch_size":
|
183 |
"trial_name": null,
|
184 |
"trial_params": null
|
185 |
}
|
|
|
1 |
{
|
2 |
+
"best_metric": 0.7399751659163123,
|
3 |
+
"best_model_checkpoint": "/opt/dlami/nvme/shevtsov/sent_checkpoints/checkpoint-102510",
|
4 |
+
"epoch": 10.0,
|
5 |
"eval_steps": 500,
|
6 |
+
"global_step": 102510,
|
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 |
+
"step": 10251,
|
14 |
+
"train_accuracy": 0.9232076630758701,
|
15 |
+
"train_f1": 0.9284970394554347,
|
16 |
+
"train_loss": 0.08324012160301208,
|
17 |
+
"train_precision": 0.9395995876182259,
|
18 |
+
"train_recall": 0.9232076630758701,
|
19 |
+
"train_runtime": 5077.4566,
|
20 |
+
"train_samples_per_second": 775.226,
|
21 |
+
"train_steps_per_second": 2.019
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 1.0,
|
25 |
+
"grad_norm": 2.202436923980713,
|
26 |
"learning_rate": 5e-06,
|
27 |
+
"loss": 0.1512,
|
28 |
+
"step": 10251
|
29 |
},
|
30 |
{
|
31 |
"epoch": 1.0,
|
32 |
+
"eval_accuracy": 0.5906430303537085,
|
33 |
+
"eval_f1": 0.5953154182610875,
|
34 |
+
"eval_loss": 1.1822575330734253,
|
35 |
+
"eval_precision": 0.7605817989645098,
|
36 |
+
"eval_recall": 0.5906430303537085,
|
37 |
+
"eval_runtime": 31.2064,
|
38 |
+
"eval_samples_per_second": 766.446,
|
39 |
+
"eval_steps_per_second": 2.019,
|
40 |
+
"step": 10251
|
41 |
},
|
42 |
{
|
43 |
"epoch": 2.0,
|
44 |
+
"step": 20502,
|
45 |
+
"train_accuracy": 0.9251504125579815,
|
46 |
+
"train_f1": 0.9318479879378413,
|
47 |
+
"train_loss": 0.06029369682073593,
|
48 |
+
"train_precision": 0.9457024638382566,
|
49 |
+
"train_recall": 0.9251504125579815,
|
50 |
+
"train_runtime": 5078.2486,
|
51 |
+
"train_samples_per_second": 775.105,
|
52 |
+
"train_steps_per_second": 2.019
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 2.0,
|
56 |
+
"grad_norm": 2.3391969203948975,
|
57 |
"learning_rate": 4.849231551964771e-06,
|
58 |
+
"loss": 0.0727,
|
59 |
+
"step": 20502
|
60 |
},
|
61 |
{
|
62 |
"epoch": 2.0,
|
63 |
+
"eval_accuracy": 0.5809850321933272,
|
64 |
+
"eval_f1": 0.5827904211311477,
|
65 |
+
"eval_loss": 0.8601031303405762,
|
66 |
+
"eval_precision": 0.7707426917608643,
|
67 |
+
"eval_recall": 0.5809850321933272,
|
68 |
+
"eval_runtime": 31.1947,
|
69 |
+
"eval_samples_per_second": 766.734,
|
70 |
+
"eval_steps_per_second": 2.02,
|
71 |
+
"step": 20502
|
72 |
+
},
|
73 |
+
{
|
74 |
+
"epoch": 3.0,
|
75 |
+
"step": 30753,
|
76 |
+
"train_accuracy": 0.9311338878819889,
|
77 |
+
"train_f1": 0.9367318532276315,
|
78 |
+
"train_loss": 0.05340421944856644,
|
79 |
+
"train_precision": 0.948615352312463,
|
80 |
+
"train_recall": 0.9311338878819889,
|
81 |
+
"train_runtime": 5078.9472,
|
82 |
+
"train_samples_per_second": 774.998,
|
83 |
+
"train_steps_per_second": 2.018
|
84 |
},
|
85 |
{
|
86 |
"epoch": 3.0,
|
87 |
+
"grad_norm": 3.368744134902954,
|
88 |
"learning_rate": 4.415111107797445e-06,
|
89 |
+
"loss": 0.064,
|
90 |
+
"step": 30753
|
91 |
},
|
92 |
{
|
93 |
"epoch": 3.0,
|
94 |
+
"eval_accuracy": 0.6280207375198595,
|
95 |
+
"eval_f1": 0.6341902420521265,
|
96 |
+
"eval_loss": 1.0681450366973877,
|
97 |
+
"eval_precision": 0.768741241964947,
|
98 |
+
"eval_recall": 0.6280207375198595,
|
99 |
+
"eval_runtime": 31.2028,
|
100 |
+
"eval_samples_per_second": 766.535,
|
101 |
+
"eval_steps_per_second": 2.019,
|
102 |
+
"step": 30753
|
103 |
},
|
104 |
{
|
105 |
"epoch": 4.0,
|
106 |
+
"step": 41004,
|
107 |
+
"train_accuracy": 0.941354218588914,
|
108 |
+
"train_f1": 0.9444982035100681,
|
109 |
+
"train_loss": 0.0493415892124176,
|
110 |
+
"train_precision": 0.9518003283876015,
|
111 |
+
"train_recall": 0.941354218588914,
|
112 |
+
"train_runtime": 5080.4688,
|
113 |
+
"train_samples_per_second": 774.766,
|
114 |
+
"train_steps_per_second": 2.018
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 4.0,
|
118 |
+
"grad_norm": 7.862049579620361,
|
119 |
"learning_rate": 3.7500000000000005e-06,
|
120 |
+
"loss": 0.0585,
|
121 |
+
"step": 41004
|
122 |
},
|
123 |
{
|
124 |
"epoch": 4.0,
|
125 |
+
"eval_accuracy": 0.6900660590350364,
|
126 |
+
"eval_f1": 0.6986283009597273,
|
127 |
+
"eval_loss": 1.4099539518356323,
|
128 |
+
"eval_precision": 0.7671384440115526,
|
129 |
+
"eval_recall": 0.6900660590350364,
|
130 |
+
"eval_runtime": 31.2008,
|
131 |
+
"eval_samples_per_second": 766.584,
|
132 |
+
"eval_steps_per_second": 2.019,
|
133 |
+
"step": 41004
|
134 |
},
|
135 |
{
|
136 |
"epoch": 5.0,
|
137 |
+
"step": 51255,
|
138 |
+
"train_accuracy": 0.9479113474150279,
|
139 |
+
"train_f1": 0.9498162368391557,
|
140 |
+
"train_loss": 0.04905932769179344,
|
141 |
+
"train_precision": 0.9544620214289802,
|
142 |
+
"train_recall": 0.9479113474150279,
|
143 |
+
"train_runtime": 5088.1804,
|
144 |
+
"train_samples_per_second": 773.592,
|
145 |
+
"train_steps_per_second": 2.015
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 5.0,
|
149 |
+
"grad_norm": 1.6737421751022339,
|
150 |
"learning_rate": 2.9341204441673267e-06,
|
151 |
+
"loss": 0.0543,
|
152 |
+
"step": 51255
|
153 |
},
|
154 |
{
|
155 |
"epoch": 5.0,
|
156 |
+
"eval_accuracy": 0.7279454803913371,
|
157 |
+
"eval_f1": 0.7344324841621389,
|
158 |
+
"eval_loss": 2.154353618621826,
|
159 |
+
"eval_precision": 0.7651689935562233,
|
160 |
+
"eval_recall": 0.7279454803913371,
|
161 |
+
"eval_runtime": 31.2388,
|
162 |
+
"eval_samples_per_second": 765.65,
|
163 |
+
"eval_steps_per_second": 2.017,
|
164 |
+
"step": 51255
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 6.0,
|
168 |
+
"step": 61506,
|
169 |
+
"train_accuracy": 0.944803507162031,
|
170 |
+
"train_f1": 0.9475462857180277,
|
171 |
+
"train_loss": 0.0426737517118454,
|
172 |
+
"train_precision": 0.9540200071722176,
|
173 |
+
"train_recall": 0.944803507162031,
|
174 |
+
"train_runtime": 5078.4022,
|
175 |
+
"train_samples_per_second": 775.081,
|
176 |
+
"train_steps_per_second": 2.019
|
177 |
},
|
178 |
{
|
179 |
"epoch": 6.0,
|
180 |
+
"grad_norm": 2.879870653152466,
|
181 |
"learning_rate": 2.0658795558326745e-06,
|
182 |
+
"loss": 0.051,
|
183 |
+
"step": 61506
|
184 |
},
|
185 |
{
|
186 |
"epoch": 6.0,
|
187 |
+
"eval_accuracy": 0.7079187223011958,
|
188 |
+
"eval_f1": 0.7155283465045912,
|
189 |
+
"eval_loss": 2.2507946491241455,
|
190 |
+
"eval_precision": 0.7570941064333973,
|
191 |
+
"eval_recall": 0.7079187223011958,
|
192 |
+
"eval_runtime": 31.2026,
|
193 |
+
"eval_samples_per_second": 766.538,
|
194 |
+
"eval_steps_per_second": 2.019,
|
195 |
+
"step": 61506
|
196 |
},
|
197 |
{
|
198 |
"epoch": 7.0,
|
199 |
+
"step": 71757,
|
200 |
+
"train_accuracy": 0.9474675154096338,
|
201 |
+
"train_f1": 0.9497025418465336,
|
202 |
+
"train_loss": 0.0410270020365715,
|
203 |
+
"train_precision": 0.9551267616744933,
|
204 |
+
"train_recall": 0.9474675154096338,
|
205 |
+
"train_runtime": 5080.7556,
|
206 |
+
"train_samples_per_second": 774.722,
|
207 |
+
"train_steps_per_second": 2.018
|
208 |
+
},
|
209 |
+
{
|
210 |
+
"epoch": 7.0,
|
211 |
+
"grad_norm": 1.4426418542861938,
|
212 |
"learning_rate": 1.2500000000000007e-06,
|
213 |
+
"loss": 0.0486,
|
214 |
+
"step": 71757
|
215 |
},
|
216 |
{
|
217 |
"epoch": 7.0,
|
218 |
+
"eval_accuracy": 0.7198344343172506,
|
219 |
+
"eval_f1": 0.726834352850576,
|
220 |
+
"eval_loss": 2.45487380027771,
|
221 |
+
"eval_precision": 0.7590566392960729,
|
222 |
+
"eval_recall": 0.7198344343172506,
|
223 |
+
"eval_runtime": 31.2049,
|
224 |
+
"eval_samples_per_second": 766.482,
|
225 |
+
"eval_steps_per_second": 2.019,
|
226 |
+
"step": 71757
|
227 |
},
|
228 |
{
|
229 |
"epoch": 8.0,
|
230 |
+
"step": 82008,
|
231 |
+
"train_accuracy": 0.9504046315025708,
|
232 |
+
"train_f1": 0.9520763661297328,
|
233 |
+
"train_loss": 0.0410199835896492,
|
234 |
+
"train_precision": 0.9562815819971588,
|
235 |
+
"train_recall": 0.9504046315025708,
|
236 |
+
"train_runtime": 5079.0768,
|
237 |
+
"train_samples_per_second": 774.978,
|
238 |
+
"train_steps_per_second": 2.018
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 8.0,
|
242 |
+
"grad_norm": 1.1270148754119873,
|
243 |
"learning_rate": 5.848888922025553e-07,
|
244 |
+
"loss": 0.0468,
|
245 |
+
"step": 82008
|
246 |
},
|
247 |
{
|
248 |
"epoch": 8.0,
|
249 |
+
"eval_accuracy": 0.7316665273016139,
|
250 |
+
"eval_f1": 0.737640105520052,
|
251 |
+
"eval_loss": 2.602576494216919,
|
252 |
+
"eval_precision": 0.7612609852108917,
|
253 |
+
"eval_recall": 0.7316665273016139,
|
254 |
+
"eval_runtime": 31.1916,
|
255 |
+
"eval_samples_per_second": 766.809,
|
256 |
+
"eval_steps_per_second": 2.02,
|
257 |
+
"step": 82008
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 9.0,
|
261 |
+
"step": 92259,
|
262 |
+
"train_accuracy": 0.9505296259769004,
|
263 |
+
"train_f1": 0.9522083394688067,
|
264 |
+
"train_loss": 0.03998752683401108,
|
265 |
+
"train_precision": 0.9564247374560226,
|
266 |
+
"train_recall": 0.9505296259769004,
|
267 |
+
"train_runtime": 5078.0822,
|
268 |
+
"train_samples_per_second": 775.13,
|
269 |
+
"train_steps_per_second": 2.019
|
270 |
+
},
|
271 |
+
{
|
272 |
+
"epoch": 9.0,
|
273 |
+
"grad_norm": 1.666390061378479,
|
274 |
+
"learning_rate": 1.507684480352292e-07,
|
275 |
+
"loss": 0.0457,
|
276 |
+
"step": 92259
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 9.0,
|
280 |
+
"eval_accuracy": 0.7320010034283803,
|
281 |
+
"eval_f1": 0.7378168031871946,
|
282 |
+
"eval_loss": 2.8211002349853516,
|
283 |
+
"eval_precision": 0.7595695441249473,
|
284 |
+
"eval_recall": 0.7320010034283803,
|
285 |
+
"eval_runtime": 31.2132,
|
286 |
+
"eval_samples_per_second": 766.278,
|
287 |
+
"eval_steps_per_second": 2.018,
|
288 |
+
"step": 92259
|
289 |
+
},
|
290 |
+
{
|
291 |
+
"epoch": 10.0,
|
292 |
+
"step": 102510,
|
293 |
+
"train_accuracy": 0.9510209660446921,
|
294 |
+
"train_f1": 0.9526073589638447,
|
295 |
+
"train_loss": 0.040298543870449066,
|
296 |
+
"train_precision": 0.9566123120238171,
|
297 |
+
"train_recall": 0.9510209660446921,
|
298 |
+
"train_runtime": 5078.6508,
|
299 |
+
"train_samples_per_second": 775.043,
|
300 |
+
"train_steps_per_second": 2.018
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 10.0,
|
304 |
+
"grad_norm": 1.6141560077667236,
|
305 |
+
"learning_rate": 0.0,
|
306 |
+
"loss": 0.0451,
|
307 |
+
"step": 102510
|
308 |
+
},
|
309 |
+
{
|
310 |
+
"epoch": 10.0,
|
311 |
+
"eval_accuracy": 0.7345095743791287,
|
312 |
+
"eval_f1": 0.7399751659163123,
|
313 |
+
"eval_loss": 2.884028911590576,
|
314 |
+
"eval_precision": 0.759520061975123,
|
315 |
+
"eval_recall": 0.7345095743791287,
|
316 |
+
"eval_runtime": 31.2146,
|
317 |
+
"eval_samples_per_second": 766.243,
|
318 |
+
"eval_steps_per_second": 2.018,
|
319 |
+
"step": 102510
|
320 |
}
|
321 |
],
|
322 |
"logging_steps": 500,
|
323 |
+
"max_steps": 102510,
|
324 |
"num_input_tokens_seen": 0,
|
325 |
"num_train_epochs": 10,
|
326 |
"save_steps": 500,
|
|
|
331 |
"should_evaluate": false,
|
332 |
"should_log": false,
|
333 |
"should_save": true,
|
334 |
+
"should_training_stop": true
|
335 |
},
|
336 |
"attributes": {}
|
337 |
}
|
338 |
},
|
339 |
+
"total_flos": 1.0357340434899927e+19,
|
340 |
+
"train_batch_size": 48,
|
341 |
"trial_name": null,
|
342 |
"trial_params": null
|
343 |
}
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 5304
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:08fbbf6707e209de037bb4bc3ece3924dd1369ff37078a607f53ee446b0de5b1
|
3 |
size 5304
|