🍻 cheers
Browse files- README.md +2 -1
- all_results.json +13 -0
- eval_results.json +8 -0
- runs/Dec08_08-00-19_64968b5b03f4/events.out.tfevents.1733645166.64968b5b03f4.23.2 +3 -0
- train_results.json +8 -0
- trainer_state.json +235 -0
README.md
CHANGED
@@ -3,6 +3,7 @@ library_name: transformers
|
|
3 |
license: apache-2.0
|
4 |
base_model: google/vit-base-patch16-224-in21k
|
5 |
tags:
|
|
|
6 |
- generated_from_trainer
|
7 |
metrics:
|
8 |
- accuracy
|
@@ -16,7 +17,7 @@ should probably proofread and complete it, then remove this comment. -->
|
|
16 |
|
17 |
# finetuned-bangladeshi-traditional-food
|
18 |
|
19 |
-
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on
|
20 |
It achieves the following results on the evaluation set:
|
21 |
- Loss: 0.3867
|
22 |
- Accuracy: 0.9190
|
|
|
3 |
license: apache-2.0
|
4 |
base_model: google/vit-base-patch16-224-in21k
|
5 |
tags:
|
6 |
+
- image-classification
|
7 |
- generated_from_trainer
|
8 |
metrics:
|
9 |
- accuracy
|
|
|
17 |
|
18 |
# finetuned-bangladeshi-traditional-food
|
19 |
|
20 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the indian_food_images dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
- Loss: 0.3867
|
23 |
- Accuracy: 0.9190
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.9189944134078212,
|
4 |
+
"eval_loss": 0.3867419362068176,
|
5 |
+
"eval_runtime": 6.2539,
|
6 |
+
"eval_samples_per_second": 57.244,
|
7 |
+
"eval_steps_per_second": 3.678,
|
8 |
+
"total_flos": 6.287051649950024e+17,
|
9 |
+
"train_loss": 0.7197832907550037,
|
10 |
+
"train_runtime": 268.6443,
|
11 |
+
"train_samples_per_second": 30.196,
|
12 |
+
"train_steps_per_second": 0.953
|
13 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.9189944134078212,
|
4 |
+
"eval_loss": 0.3867419362068176,
|
5 |
+
"eval_runtime": 6.2539,
|
6 |
+
"eval_samples_per_second": 57.244,
|
7 |
+
"eval_steps_per_second": 3.678
|
8 |
+
}
|
runs/Dec08_08-00-19_64968b5b03f4/events.out.tfevents.1733645166.64968b5b03f4.23.2
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:863153076db16af7877b2771aea097d3f2b278e513763c44a3433a004c7e2fb2
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"total_flos": 6.287051649950024e+17,
|
4 |
+
"train_loss": 0.7197832907550037,
|
5 |
+
"train_runtime": 268.6443,
|
6 |
+
"train_samples_per_second": 30.196,
|
7 |
+
"train_steps_per_second": 0.953
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,235 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.3867419362068176,
|
3 |
+
"best_model_checkpoint": "finetuned-bangladeshi-traditional-food/checkpoint-200",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"eval_steps": 100,
|
6 |
+
"global_step": 256,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.15625,
|
13 |
+
"grad_norm": 104808.0078125,
|
14 |
+
"learning_rate": 0.0001921875,
|
15 |
+
"loss": 2.5683,
|
16 |
+
"step": 10
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.3125,
|
20 |
+
"grad_norm": 121324.2109375,
|
21 |
+
"learning_rate": 0.000184375,
|
22 |
+
"loss": 2.0721,
|
23 |
+
"step": 20
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.46875,
|
27 |
+
"grad_norm": 112550.9140625,
|
28 |
+
"learning_rate": 0.00017656250000000002,
|
29 |
+
"loss": 1.5956,
|
30 |
+
"step": 30
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.625,
|
34 |
+
"grad_norm": 90598.2265625,
|
35 |
+
"learning_rate": 0.00016875,
|
36 |
+
"loss": 1.3772,
|
37 |
+
"step": 40
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.78125,
|
41 |
+
"grad_norm": 100583.53125,
|
42 |
+
"learning_rate": 0.0001609375,
|
43 |
+
"loss": 1.1265,
|
44 |
+
"step": 50
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.9375,
|
48 |
+
"grad_norm": 92339.28125,
|
49 |
+
"learning_rate": 0.000153125,
|
50 |
+
"loss": 1.0868,
|
51 |
+
"step": 60
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 1.09375,
|
55 |
+
"grad_norm": 94877.703125,
|
56 |
+
"learning_rate": 0.00014531250000000002,
|
57 |
+
"loss": 0.8778,
|
58 |
+
"step": 70
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 1.25,
|
62 |
+
"grad_norm": 129495.6640625,
|
63 |
+
"learning_rate": 0.0001375,
|
64 |
+
"loss": 0.6839,
|
65 |
+
"step": 80
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.40625,
|
69 |
+
"grad_norm": 150202.59375,
|
70 |
+
"learning_rate": 0.0001296875,
|
71 |
+
"loss": 0.6589,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.5625,
|
76 |
+
"grad_norm": 128498.6953125,
|
77 |
+
"learning_rate": 0.00012187500000000001,
|
78 |
+
"loss": 0.703,
|
79 |
+
"step": 100
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.5625,
|
83 |
+
"eval_accuracy": 0.9022346368715084,
|
84 |
+
"eval_loss": 0.612750232219696,
|
85 |
+
"eval_runtime": 6.1858,
|
86 |
+
"eval_samples_per_second": 57.874,
|
87 |
+
"eval_steps_per_second": 3.718,
|
88 |
+
"step": 100
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 1.71875,
|
92 |
+
"grad_norm": 172968.234375,
|
93 |
+
"learning_rate": 0.0001140625,
|
94 |
+
"loss": 0.6179,
|
95 |
+
"step": 110
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 1.875,
|
99 |
+
"grad_norm": 193931.03125,
|
100 |
+
"learning_rate": 0.00010625000000000001,
|
101 |
+
"loss": 0.5416,
|
102 |
+
"step": 120
|
103 |
+
},
|
104 |
+
{
|
105 |
+
"epoch": 2.03125,
|
106 |
+
"grad_norm": 100722.890625,
|
107 |
+
"learning_rate": 9.84375e-05,
|
108 |
+
"loss": 0.4705,
|
109 |
+
"step": 130
|
110 |
+
},
|
111 |
+
{
|
112 |
+
"epoch": 2.1875,
|
113 |
+
"grad_norm": 111848.0234375,
|
114 |
+
"learning_rate": 9.062500000000001e-05,
|
115 |
+
"loss": 0.4895,
|
116 |
+
"step": 140
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 2.34375,
|
120 |
+
"grad_norm": 102607.46875,
|
121 |
+
"learning_rate": 8.28125e-05,
|
122 |
+
"loss": 0.4002,
|
123 |
+
"step": 150
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 2.5,
|
127 |
+
"grad_norm": 228628.328125,
|
128 |
+
"learning_rate": 7.500000000000001e-05,
|
129 |
+
"loss": 0.3947,
|
130 |
+
"step": 160
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 2.65625,
|
134 |
+
"grad_norm": 144436.234375,
|
135 |
+
"learning_rate": 6.71875e-05,
|
136 |
+
"loss": 0.3387,
|
137 |
+
"step": 170
|
138 |
+
},
|
139 |
+
{
|
140 |
+
"epoch": 2.8125,
|
141 |
+
"grad_norm": 218134.15625,
|
142 |
+
"learning_rate": 5.9375e-05,
|
143 |
+
"loss": 0.3805,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 2.96875,
|
148 |
+
"grad_norm": 132064.421875,
|
149 |
+
"learning_rate": 5.15625e-05,
|
150 |
+
"loss": 0.3356,
|
151 |
+
"step": 190
|
152 |
+
},
|
153 |
+
{
|
154 |
+
"epoch": 3.125,
|
155 |
+
"grad_norm": 24524.32421875,
|
156 |
+
"learning_rate": 4.375e-05,
|
157 |
+
"loss": 0.252,
|
158 |
+
"step": 200
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 3.125,
|
162 |
+
"eval_accuracy": 0.9189944134078212,
|
163 |
+
"eval_loss": 0.3867419362068176,
|
164 |
+
"eval_runtime": 6.1019,
|
165 |
+
"eval_samples_per_second": 58.67,
|
166 |
+
"eval_steps_per_second": 3.769,
|
167 |
+
"step": 200
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 3.28125,
|
171 |
+
"grad_norm": 37676.6171875,
|
172 |
+
"learning_rate": 3.59375e-05,
|
173 |
+
"loss": 0.2721,
|
174 |
+
"step": 210
|
175 |
+
},
|
176 |
+
{
|
177 |
+
"epoch": 3.4375,
|
178 |
+
"grad_norm": 105781.78125,
|
179 |
+
"learning_rate": 2.8125000000000003e-05,
|
180 |
+
"loss": 0.2583,
|
181 |
+
"step": 220
|
182 |
+
},
|
183 |
+
{
|
184 |
+
"epoch": 3.59375,
|
185 |
+
"grad_norm": 42383.23828125,
|
186 |
+
"learning_rate": 2.0312500000000002e-05,
|
187 |
+
"loss": 0.2163,
|
188 |
+
"step": 230
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 3.75,
|
192 |
+
"grad_norm": 24589.4375,
|
193 |
+
"learning_rate": 1.25e-05,
|
194 |
+
"loss": 0.2903,
|
195 |
+
"step": 240
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 3.90625,
|
199 |
+
"grad_norm": 235633.53125,
|
200 |
+
"learning_rate": 4.6875000000000004e-06,
|
201 |
+
"loss": 0.2813,
|
202 |
+
"step": 250
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 4.0,
|
206 |
+
"step": 256,
|
207 |
+
"total_flos": 6.287051649950024e+17,
|
208 |
+
"train_loss": 0.7197832907550037,
|
209 |
+
"train_runtime": 268.6443,
|
210 |
+
"train_samples_per_second": 30.196,
|
211 |
+
"train_steps_per_second": 0.953
|
212 |
+
}
|
213 |
+
],
|
214 |
+
"logging_steps": 10,
|
215 |
+
"max_steps": 256,
|
216 |
+
"num_input_tokens_seen": 0,
|
217 |
+
"num_train_epochs": 4,
|
218 |
+
"save_steps": 100,
|
219 |
+
"stateful_callbacks": {
|
220 |
+
"TrainerControl": {
|
221 |
+
"args": {
|
222 |
+
"should_epoch_stop": false,
|
223 |
+
"should_evaluate": false,
|
224 |
+
"should_log": false,
|
225 |
+
"should_save": true,
|
226 |
+
"should_training_stop": true
|
227 |
+
},
|
228 |
+
"attributes": {}
|
229 |
+
}
|
230 |
+
},
|
231 |
+
"total_flos": 6.287051649950024e+17,
|
232 |
+
"train_batch_size": 32,
|
233 |
+
"trial_name": null,
|
234 |
+
"trial_params": null
|
235 |
+
}
|