End of training
Browse files- README.md +81 -0
- all_results.json +13 -0
- config.json +32 -0
- eval_results.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +22 -0
- runs/Dec29_17-00-52_9d7cae9b6491/events.out.tfevents.1703869272.9d7cae9b6491.1030.0 +3 -0
- runs/Dec29_17-00-52_9d7cae9b6491/events.out.tfevents.1703870457.9d7cae9b6491.1030.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +190 -0
- training_args.bin +3 -0
README.md
ADDED
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
base_model: google/vit-base-patch16-224
|
4 |
+
tags:
|
5 |
+
- generated_from_trainer
|
6 |
+
datasets:
|
7 |
+
- imagefolder
|
8 |
+
metrics:
|
9 |
+
- accuracy
|
10 |
+
model-index:
|
11 |
+
- name: vit-base-patch16-224-finetuned-cedar
|
12 |
+
results:
|
13 |
+
- task:
|
14 |
+
name: Image Classification
|
15 |
+
type: image-classification
|
16 |
+
dataset:
|
17 |
+
name: imagefolder
|
18 |
+
type: imagefolder
|
19 |
+
config: default
|
20 |
+
split: train
|
21 |
+
args: default
|
22 |
+
metrics:
|
23 |
+
- name: Accuracy
|
24 |
+
type: accuracy
|
25 |
+
value: 0.7882830626450116
|
26 |
+
---
|
27 |
+
|
28 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
29 |
+
should probably proofread and complete it, then remove this comment. -->
|
30 |
+
|
31 |
+
# vit-base-patch16-224-finetuned-cedar
|
32 |
+
|
33 |
+
This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
|
34 |
+
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.4667
|
36 |
+
- Accuracy: 0.7883
|
37 |
+
|
38 |
+
## Model description
|
39 |
+
|
40 |
+
More information needed
|
41 |
+
|
42 |
+
## Intended uses & limitations
|
43 |
+
|
44 |
+
More information needed
|
45 |
+
|
46 |
+
## Training and evaluation data
|
47 |
+
|
48 |
+
More information needed
|
49 |
+
|
50 |
+
## Training procedure
|
51 |
+
|
52 |
+
### Training hyperparameters
|
53 |
+
|
54 |
+
The following hyperparameters were used during training:
|
55 |
+
- learning_rate: 5e-05
|
56 |
+
- train_batch_size: 32
|
57 |
+
- eval_batch_size: 32
|
58 |
+
- seed: 42
|
59 |
+
- gradient_accumulation_steps: 4
|
60 |
+
- total_train_batch_size: 128
|
61 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
62 |
+
- lr_scheduler_type: linear
|
63 |
+
- lr_scheduler_warmup_ratio: 0.1
|
64 |
+
- num_epochs: 4
|
65 |
+
|
66 |
+
### Training results
|
67 |
+
|
68 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
69 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
70 |
+
| 0.5419 | 1.0 | 54 | 0.5085 | 0.7657 |
|
71 |
+
| 0.4541 | 2.0 | 108 | 0.4667 | 0.7883 |
|
72 |
+
| 0.3847 | 3.0 | 162 | 0.5603 | 0.7320 |
|
73 |
+
| 0.3669 | 4.0 | 216 | 0.4869 | 0.7749 |
|
74 |
+
|
75 |
+
|
76 |
+
### Framework versions
|
77 |
+
|
78 |
+
- Transformers 4.35.2
|
79 |
+
- Pytorch 2.1.0+cu121
|
80 |
+
- Datasets 2.16.0
|
81 |
+
- Tokenizers 0.15.0
|
all_results.json
ADDED
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.7882830626450116,
|
4 |
+
"eval_loss": 0.46672987937927246,
|
5 |
+
"eval_runtime": 28.0348,
|
6 |
+
"eval_samples_per_second": 61.495,
|
7 |
+
"eval_steps_per_second": 1.926,
|
8 |
+
"total_flos": 2.1362991696950723e+18,
|
9 |
+
"train_loss": 0.4688039951854282,
|
10 |
+
"train_runtime": 1140.3926,
|
11 |
+
"train_samples_per_second": 24.174,
|
12 |
+
"train_steps_per_second": 0.189
|
13 |
+
}
|
config.json
ADDED
@@ -0,0 +1,32 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "google/vit-base-patch16-224",
|
3 |
+
"architectures": [
|
4 |
+
"ViTForImageClassification"
|
5 |
+
],
|
6 |
+
"attention_probs_dropout_prob": 0.0,
|
7 |
+
"encoder_stride": 16,
|
8 |
+
"hidden_act": "gelu",
|
9 |
+
"hidden_dropout_prob": 0.0,
|
10 |
+
"hidden_size": 768,
|
11 |
+
"id2label": {
|
12 |
+
"0": "full_forg",
|
13 |
+
"1": "full_org"
|
14 |
+
},
|
15 |
+
"image_size": 224,
|
16 |
+
"initializer_range": 0.02,
|
17 |
+
"intermediate_size": 3072,
|
18 |
+
"label2id": {
|
19 |
+
"full_forg": 0,
|
20 |
+
"full_org": 1
|
21 |
+
},
|
22 |
+
"layer_norm_eps": 1e-12,
|
23 |
+
"model_type": "vit",
|
24 |
+
"num_attention_heads": 12,
|
25 |
+
"num_channels": 3,
|
26 |
+
"num_hidden_layers": 12,
|
27 |
+
"patch_size": 16,
|
28 |
+
"problem_type": "single_label_classification",
|
29 |
+
"qkv_bias": true,
|
30 |
+
"torch_dtype": "float32",
|
31 |
+
"transformers_version": "4.35.2"
|
32 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"eval_accuracy": 0.7882830626450116,
|
4 |
+
"eval_loss": 0.46672987937927246,
|
5 |
+
"eval_runtime": 28.0348,
|
6 |
+
"eval_samples_per_second": 61.495,
|
7 |
+
"eval_steps_per_second": 1.926
|
8 |
+
}
|
model.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bcbc2b11eb066b415099616c5eb05f5d680a9d969b9296fdc6fbfcdd70a67174
|
3 |
+
size 343223968
|
preprocessor_config.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_normalize": true,
|
3 |
+
"do_rescale": true,
|
4 |
+
"do_resize": true,
|
5 |
+
"image_mean": [
|
6 |
+
0.5,
|
7 |
+
0.5,
|
8 |
+
0.5
|
9 |
+
],
|
10 |
+
"image_processor_type": "ViTImageProcessor",
|
11 |
+
"image_std": [
|
12 |
+
0.5,
|
13 |
+
0.5,
|
14 |
+
0.5
|
15 |
+
],
|
16 |
+
"resample": 2,
|
17 |
+
"rescale_factor": 0.00392156862745098,
|
18 |
+
"size": {
|
19 |
+
"height": 224,
|
20 |
+
"width": 224
|
21 |
+
}
|
22 |
+
}
|
runs/Dec29_17-00-52_9d7cae9b6491/events.out.tfevents.1703869272.9d7cae9b6491.1030.0
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:e019b29205d44231aea74a87a73990974420133fcac5e6778be698426a98a719
|
3 |
+
size 9181
|
runs/Dec29_17-00-52_9d7cae9b6491/events.out.tfevents.1703870457.9d7cae9b6491.1030.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a168abb6985a9f2904c7506507f0bfc7941620423a9984963bb9f4ab4ac142a7
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 4.0,
|
3 |
+
"total_flos": 2.1362991696950723e+18,
|
4 |
+
"train_loss": 0.4688039951854282,
|
5 |
+
"train_runtime": 1140.3926,
|
6 |
+
"train_samples_per_second": 24.174,
|
7 |
+
"train_steps_per_second": 0.189
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,190 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.7882830626450116,
|
3 |
+
"best_model_checkpoint": "vit-base-patch16-224-finetuned-cedar/checkpoint-108",
|
4 |
+
"epoch": 4.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 216,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.19,
|
13 |
+
"learning_rate": 2.272727272727273e-05,
|
14 |
+
"loss": 0.7007,
|
15 |
+
"step": 10
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.37,
|
19 |
+
"learning_rate": 4.545454545454546e-05,
|
20 |
+
"loss": 0.6193,
|
21 |
+
"step": 20
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.56,
|
25 |
+
"learning_rate": 4.793814432989691e-05,
|
26 |
+
"loss": 0.5897,
|
27 |
+
"step": 30
|
28 |
+
},
|
29 |
+
{
|
30 |
+
"epoch": 0.74,
|
31 |
+
"learning_rate": 4.536082474226804e-05,
|
32 |
+
"loss": 0.5124,
|
33 |
+
"step": 40
|
34 |
+
},
|
35 |
+
{
|
36 |
+
"epoch": 0.93,
|
37 |
+
"learning_rate": 4.2783505154639175e-05,
|
38 |
+
"loss": 0.5419,
|
39 |
+
"step": 50
|
40 |
+
},
|
41 |
+
{
|
42 |
+
"epoch": 1.0,
|
43 |
+
"eval_accuracy": 0.765661252900232,
|
44 |
+
"eval_loss": 0.5085464119911194,
|
45 |
+
"eval_runtime": 27.8034,
|
46 |
+
"eval_samples_per_second": 62.007,
|
47 |
+
"eval_steps_per_second": 1.942,
|
48 |
+
"step": 54
|
49 |
+
},
|
50 |
+
{
|
51 |
+
"epoch": 1.11,
|
52 |
+
"learning_rate": 4.020618556701031e-05,
|
53 |
+
"loss": 0.4913,
|
54 |
+
"step": 60
|
55 |
+
},
|
56 |
+
{
|
57 |
+
"epoch": 1.3,
|
58 |
+
"learning_rate": 3.7628865979381445e-05,
|
59 |
+
"loss": 0.4795,
|
60 |
+
"step": 70
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.48,
|
64 |
+
"learning_rate": 3.5051546391752576e-05,
|
65 |
+
"loss": 0.4856,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 1.67,
|
70 |
+
"learning_rate": 3.2474226804123714e-05,
|
71 |
+
"loss": 0.4715,
|
72 |
+
"step": 90
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.85,
|
76 |
+
"learning_rate": 2.9896907216494846e-05,
|
77 |
+
"loss": 0.4541,
|
78 |
+
"step": 100
|
79 |
+
},
|
80 |
+
{
|
81 |
+
"epoch": 2.0,
|
82 |
+
"eval_accuracy": 0.7882830626450116,
|
83 |
+
"eval_loss": 0.46672987937927246,
|
84 |
+
"eval_runtime": 27.8433,
|
85 |
+
"eval_samples_per_second": 61.918,
|
86 |
+
"eval_steps_per_second": 1.939,
|
87 |
+
"step": 108
|
88 |
+
},
|
89 |
+
{
|
90 |
+
"epoch": 2.04,
|
91 |
+
"learning_rate": 2.7319587628865977e-05,
|
92 |
+
"loss": 0.4464,
|
93 |
+
"step": 110
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.22,
|
97 |
+
"learning_rate": 2.4742268041237116e-05,
|
98 |
+
"loss": 0.4412,
|
99 |
+
"step": 120
|
100 |
+
},
|
101 |
+
{
|
102 |
+
"epoch": 2.41,
|
103 |
+
"learning_rate": 2.2164948453608247e-05,
|
104 |
+
"loss": 0.4327,
|
105 |
+
"step": 130
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 2.59,
|
109 |
+
"learning_rate": 1.9587628865979382e-05,
|
110 |
+
"loss": 0.4301,
|
111 |
+
"step": 140
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.78,
|
115 |
+
"learning_rate": 1.7010309278350517e-05,
|
116 |
+
"loss": 0.4184,
|
117 |
+
"step": 150
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 2.96,
|
121 |
+
"learning_rate": 1.4432989690721649e-05,
|
122 |
+
"loss": 0.3847,
|
123 |
+
"step": 160
|
124 |
+
},
|
125 |
+
{
|
126 |
+
"epoch": 3.0,
|
127 |
+
"eval_accuracy": 0.7320185614849188,
|
128 |
+
"eval_loss": 0.5602948069572449,
|
129 |
+
"eval_runtime": 27.4724,
|
130 |
+
"eval_samples_per_second": 62.754,
|
131 |
+
"eval_steps_per_second": 1.966,
|
132 |
+
"step": 162
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 3.15,
|
136 |
+
"learning_rate": 1.1855670103092783e-05,
|
137 |
+
"loss": 0.4003,
|
138 |
+
"step": 170
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 3.33,
|
142 |
+
"learning_rate": 9.278350515463918e-06,
|
143 |
+
"loss": 0.4209,
|
144 |
+
"step": 180
|
145 |
+
},
|
146 |
+
{
|
147 |
+
"epoch": 3.52,
|
148 |
+
"learning_rate": 6.701030927835052e-06,
|
149 |
+
"loss": 0.405,
|
150 |
+
"step": 190
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 3.7,
|
154 |
+
"learning_rate": 4.123711340206186e-06,
|
155 |
+
"loss": 0.4026,
|
156 |
+
"step": 200
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 3.89,
|
160 |
+
"learning_rate": 1.5463917525773197e-06,
|
161 |
+
"loss": 0.3669,
|
162 |
+
"step": 210
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 4.0,
|
166 |
+
"eval_accuracy": 0.7749419953596288,
|
167 |
+
"eval_loss": 0.4869101941585541,
|
168 |
+
"eval_runtime": 27.2972,
|
169 |
+
"eval_samples_per_second": 63.157,
|
170 |
+
"eval_steps_per_second": 1.978,
|
171 |
+
"step": 216
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 4.0,
|
175 |
+
"step": 216,
|
176 |
+
"total_flos": 2.1362991696950723e+18,
|
177 |
+
"train_loss": 0.4688039951854282,
|
178 |
+
"train_runtime": 1140.3926,
|
179 |
+
"train_samples_per_second": 24.174,
|
180 |
+
"train_steps_per_second": 0.189
|
181 |
+
}
|
182 |
+
],
|
183 |
+
"logging_steps": 10,
|
184 |
+
"max_steps": 216,
|
185 |
+
"num_train_epochs": 4,
|
186 |
+
"save_steps": 500,
|
187 |
+
"total_flos": 2.1362991696950723e+18,
|
188 |
+
"trial_name": null,
|
189 |
+
"trial_params": null
|
190 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:854519fb4c4284fa2c3d12a55bd101f08476a8fbb772abe88e4ac5d80f05e9db
|
3 |
+
size 4600
|