Nitish2801
commited on
Commit
•
fd0f4d5
1
Parent(s):
588af84
Training in progress, epoch 0
Browse files
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.7,
|
3 |
+
"total_flos": 7.813276079484396e+17,
|
4 |
+
"train_loss": 0.20315870493650437,
|
5 |
+
"train_runtime": 289.0237,
|
6 |
+
"train_samples_per_second": 35.949,
|
7 |
+
"train_steps_per_second": 0.277
|
8 |
+
}
|
model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 343080328
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0937adae41e75df8136a1978077879903efdc30ec8edc16cc3344e8613bc9533
|
3 |
size 343080328
|
runs/Apr30_18-41-23_00f582f83de1/events.out.tfevents.1714502905.00f582f83de1.34.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e757d70168c2873b21ff5fa76edf385e1a06501034f9437e31559e65f1d6f886
|
3 |
+
size 5945
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 9.7,
|
3 |
+
"total_flos": 7.813276079484396e+17,
|
4 |
+
"train_loss": 0.20315870493650437,
|
5 |
+
"train_runtime": 289.0237,
|
6 |
+
"train_samples_per_second": 35.949,
|
7 |
+
"train_steps_per_second": 0.277
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,176 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 1.0,
|
3 |
+
"best_model_checkpoint": "beit-base-patch16-224-pt22k-ft22k-finetuned-footulcer/checkpoint-57",
|
4 |
+
"epoch": 9.696969696969697,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 80,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.97,
|
13 |
+
"eval_accuracy": 0.8103448275862069,
|
14 |
+
"eval_loss": 0.36133143305778503,
|
15 |
+
"eval_runtime": 1.4634,
|
16 |
+
"eval_samples_per_second": 79.267,
|
17 |
+
"eval_steps_per_second": 2.733,
|
18 |
+
"step": 8
|
19 |
+
},
|
20 |
+
{
|
21 |
+
"epoch": 1.21,
|
22 |
+
"grad_norm": 8.757495880126953,
|
23 |
+
"learning_rate": 4.8611111111111115e-05,
|
24 |
+
"loss": 0.5337,
|
25 |
+
"step": 10
|
26 |
+
},
|
27 |
+
{
|
28 |
+
"epoch": 1.94,
|
29 |
+
"eval_accuracy": 0.9482758620689655,
|
30 |
+
"eval_loss": 0.18706370890140533,
|
31 |
+
"eval_runtime": 1.1875,
|
32 |
+
"eval_samples_per_second": 97.685,
|
33 |
+
"eval_steps_per_second": 3.368,
|
34 |
+
"step": 16
|
35 |
+
},
|
36 |
+
{
|
37 |
+
"epoch": 2.42,
|
38 |
+
"grad_norm": 4.399858474731445,
|
39 |
+
"learning_rate": 4.166666666666667e-05,
|
40 |
+
"loss": 0.2621,
|
41 |
+
"step": 20
|
42 |
+
},
|
43 |
+
{
|
44 |
+
"epoch": 2.91,
|
45 |
+
"eval_accuracy": 0.9655172413793104,
|
46 |
+
"eval_loss": 0.09208085387945175,
|
47 |
+
"eval_runtime": 1.1232,
|
48 |
+
"eval_samples_per_second": 103.273,
|
49 |
+
"eval_steps_per_second": 3.561,
|
50 |
+
"step": 24
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 3.64,
|
54 |
+
"grad_norm": 7.322921276092529,
|
55 |
+
"learning_rate": 3.472222222222222e-05,
|
56 |
+
"loss": 0.2071,
|
57 |
+
"step": 30
|
58 |
+
},
|
59 |
+
{
|
60 |
+
"epoch": 4.0,
|
61 |
+
"eval_accuracy": 0.9741379310344828,
|
62 |
+
"eval_loss": 0.0625535324215889,
|
63 |
+
"eval_runtime": 1.1269,
|
64 |
+
"eval_samples_per_second": 102.935,
|
65 |
+
"eval_steps_per_second": 3.549,
|
66 |
+
"step": 33
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 4.85,
|
70 |
+
"grad_norm": 6.532228469848633,
|
71 |
+
"learning_rate": 2.777777777777778e-05,
|
72 |
+
"loss": 0.1577,
|
73 |
+
"step": 40
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 4.97,
|
77 |
+
"eval_accuracy": 0.9913793103448276,
|
78 |
+
"eval_loss": 0.031551431864500046,
|
79 |
+
"eval_runtime": 1.1244,
|
80 |
+
"eval_samples_per_second": 103.162,
|
81 |
+
"eval_steps_per_second": 3.557,
|
82 |
+
"step": 41
|
83 |
+
},
|
84 |
+
{
|
85 |
+
"epoch": 5.94,
|
86 |
+
"eval_accuracy": 0.9827586206896551,
|
87 |
+
"eval_loss": 0.04208489507436752,
|
88 |
+
"eval_runtime": 1.1481,
|
89 |
+
"eval_samples_per_second": 101.039,
|
90 |
+
"eval_steps_per_second": 3.484,
|
91 |
+
"step": 49
|
92 |
+
},
|
93 |
+
{
|
94 |
+
"epoch": 6.06,
|
95 |
+
"grad_norm": 5.438969612121582,
|
96 |
+
"learning_rate": 2.0833333333333336e-05,
|
97 |
+
"loss": 0.1296,
|
98 |
+
"step": 50
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 6.91,
|
102 |
+
"eval_accuracy": 1.0,
|
103 |
+
"eval_loss": 0.014194484800100327,
|
104 |
+
"eval_runtime": 1.1207,
|
105 |
+
"eval_samples_per_second": 103.507,
|
106 |
+
"eval_steps_per_second": 3.569,
|
107 |
+
"step": 57
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 7.27,
|
111 |
+
"grad_norm": 6.7644944190979,
|
112 |
+
"learning_rate": 1.388888888888889e-05,
|
113 |
+
"loss": 0.1102,
|
114 |
+
"step": 60
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 8.0,
|
118 |
+
"eval_accuracy": 0.9827586206896551,
|
119 |
+
"eval_loss": 0.056951798498630524,
|
120 |
+
"eval_runtime": 1.1318,
|
121 |
+
"eval_samples_per_second": 102.492,
|
122 |
+
"eval_steps_per_second": 3.534,
|
123 |
+
"step": 66
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 8.48,
|
127 |
+
"grad_norm": 7.136204719543457,
|
128 |
+
"learning_rate": 6.944444444444445e-06,
|
129 |
+
"loss": 0.1344,
|
130 |
+
"step": 70
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 8.97,
|
134 |
+
"eval_accuracy": 1.0,
|
135 |
+
"eval_loss": 0.012280683033168316,
|
136 |
+
"eval_runtime": 1.1258,
|
137 |
+
"eval_samples_per_second": 103.034,
|
138 |
+
"eval_steps_per_second": 3.553,
|
139 |
+
"step": 74
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 9.7,
|
143 |
+
"grad_norm": 5.1168999671936035,
|
144 |
+
"learning_rate": 0.0,
|
145 |
+
"loss": 0.0905,
|
146 |
+
"step": 80
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 9.7,
|
150 |
+
"eval_accuracy": 1.0,
|
151 |
+
"eval_loss": 0.01197639387100935,
|
152 |
+
"eval_runtime": 1.1257,
|
153 |
+
"eval_samples_per_second": 103.049,
|
154 |
+
"eval_steps_per_second": 3.553,
|
155 |
+
"step": 80
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 9.7,
|
159 |
+
"step": 80,
|
160 |
+
"total_flos": 7.813276079484396e+17,
|
161 |
+
"train_loss": 0.20315870493650437,
|
162 |
+
"train_runtime": 289.0237,
|
163 |
+
"train_samples_per_second": 35.949,
|
164 |
+
"train_steps_per_second": 0.277
|
165 |
+
}
|
166 |
+
],
|
167 |
+
"logging_steps": 10,
|
168 |
+
"max_steps": 80,
|
169 |
+
"num_input_tokens_seen": 0,
|
170 |
+
"num_train_epochs": 10,
|
171 |
+
"save_steps": 500,
|
172 |
+
"total_flos": 7.813276079484396e+17,
|
173 |
+
"train_batch_size": 32,
|
174 |
+
"trial_name": null,
|
175 |
+
"trial_params": null
|
176 |
+
}
|