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 sha256:2f9ce260eef5cf5b3c24ce333f99a480a6b396361e487f6e118cc380cf2f7b32
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
+ }