Hugging Face's logo

qubvel-hf
/
vit-base-beans

Image Classification
Transformers
TensorBoard
Safetensors
timm_wrapper
vision
Generated from Trainer
Model card Files
xet
Metrics Community
qubvel-hf commited on
Commit
d603799
·
verified ·
1 Parent(s): 1e72f0c

Model save

Browse files
Files changed (3) hide show
  1. README.md +26 -23
  2. emissions.csv +1 -0
  3. runs/Nov19_22-52-51_ip-10-90-1-182/events.out.tfevents.1732056774.ip-10-90-1-182.3356820.0 +2 -2
README.md CHANGED
@@ -3,8 +3,6 @@ library_name: transformers
3
  license: apache-2.0
4
  base_model: timm/resnet18.a1_in1k
5
  tags:
6
- - image-classification
7
- - vision
8
  - generated_from_trainer
9
  metrics:
10
  - accuracy
@@ -18,10 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
18
 
19
  # vit-base-beans
20
 
21
- This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on the beans dataset.
22
  It achieves the following results on the evaluation set:
23
- - Loss: 0.7412
24
- - Accuracy: 0.8120
25
 
26
  ## Model description
27
 
@@ -46,27 +44,32 @@ The following hyperparameters were used during training:
46
  - seed: 1337
47
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
48
  - lr_scheduler_type: linear
49
- - num_epochs: 15.0
50
 
51
  ### Training results
52
 
53
- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
54
- |:-------------:|:-----:|:----:|:---------------:|:--------:|
55
- | 1.0864 | 1.0 | 130 | 1.0878 | 0.4286 |
56
- | 1.0629 | 2.0 | 260 | 1.0594 | 0.5489 |
57
- | 1.0434 | 3.0 | 390 | 1.0230 | 0.6767 |
58
- | 1.0214 | 4.0 | 520 | 0.9965 | 0.6767 |
59
- | 1.0026 | 5.0 | 650 | 0.9569 | 0.7444 |
60
- | 0.9753 | 6.0 | 780 | 0.9288 | 0.7820 |
61
- | 0.9252 | 7.0 | 910 | 0.8875 | 0.7970 |
62
- | 0.9192 | 8.0 | 1040 | 0.8506 | 0.8120 |
63
- | 0.9008 | 9.0 | 1170 | 0.8338 | 0.8045 |
64
- | 0.8079 | 10.0 | 1300 | 0.8104 | 0.8421 |
65
- | 0.8332 | 11.0 | 1430 | 0.7806 | 0.8346 |
66
- | 0.8103 | 12.0 | 1560 | 0.7586 | 0.8346 |
67
- | 0.8149 | 13.0 | 1690 | 0.7571 | 0.8421 |
68
- | 0.8186 | 14.0 | 1820 | 0.7540 | 0.8271 |
69
- | 0.7929 | 15.0 | 1950 | 0.7412 | 0.8120 |
 
 
 
 
 
70
 
71
 
72
  ### Framework versions
 
3
  license: apache-2.0
4
  base_model: timm/resnet18.a1_in1k
5
  tags:
 
 
6
  - generated_from_trainer
7
  metrics:
8
  - accuracy
 
16
 
17
  # vit-base-beans
18
 
19
+ This model is a fine-tuned version of [timm/resnet18.a1_in1k](https://huggingface.co/timm/resnet18.a1_in1k) on an unknown dataset.
20
  It achieves the following results on the evaluation set:
21
+ - Loss: 0.6875
22
+ - Accuracy: 0.8647
23
 
24
  ## Model description
25
 
 
44
  - seed: 1337
45
  - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
46
  - lr_scheduler_type: linear
47
+ - num_epochs: 20.0
48
 
49
  ### Training results
50
 
51
+ | Training Loss | Epoch | Step | Accuracy | Validation Loss |
52
+ |:-------------:|:-----:|:----:|:--------:|:---------------:|
53
+ | 1.0864 | 1.0 | 130 | 0.4286 | 1.0878 |
54
+ | 1.0629 | 2.0 | 260 | 0.5489 | 1.0594 |
55
+ | 1.0434 | 3.0 | 390 | 0.6767 | 1.0230 |
56
+ | 1.0214 | 4.0 | 520 | 0.6767 | 0.9965 |
57
+ | 1.0026 | 5.0 | 650 | 0.7444 | 0.9569 |
58
+ | 0.9753 | 6.0 | 780 | 0.7820 | 0.9288 |
59
+ | 0.9252 | 7.0 | 910 | 0.7970 | 0.8875 |
60
+ | 0.9192 | 8.0 | 1040 | 0.8120 | 0.8506 |
61
+ | 0.9008 | 9.0 | 1170 | 0.8045 | 0.8338 |
62
+ | 0.8079 | 10.0 | 1300 | 0.8421 | 0.8104 |
63
+ | 0.8332 | 11.0 | 1430 | 0.8346 | 0.7806 |
64
+ | 0.8103 | 12.0 | 1560 | 0.8346 | 0.7586 |
65
+ | 0.8149 | 13.0 | 1690 | 0.8421 | 0.7571 |
66
+ | 0.8186 | 14.0 | 1820 | 0.8271 | 0.7540 |
67
+ | 0.7929 | 15.0 | 1950 | 0.8120 | 0.7412 |
68
+ | 0.774 | 16.0 | 2080 | 0.7370 | 0.8496 |
69
+ | 0.7613 | 17.0 | 2210 | 0.7059 | 0.8496 |
70
+ | 0.7778 | 18.0 | 2340 | 0.6930 | 0.8271 |
71
+ | 0.8081 | 19.0 | 2470 | 0.6890 | 0.8647 |
72
+ | 0.7916 | 20.0 | 2600 | 0.6875 | 0.8647 |
73
 
74
 
75
  ### Framework versions
emissions.csv CHANGED
@@ -1,2 +1,3 @@
1
  timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
2
  2024-11-19T22:44:02,160c9d2c-6505-48d6-a2ef-37591b68fd54,codecarbon,141.6721956729889,0.0017821140441561913,0.004827819219492146,United States,USA,virginia,N,,
 
 
1
  timestamp,experiment_id,project_name,duration,emissions,energy_consumed,country_name,country_iso_code,region,on_cloud,cloud_provider,cloud_region
2
  2024-11-19T22:44:02,160c9d2c-6505-48d6-a2ef-37591b68fd54,codecarbon,141.6721956729889,0.0017821140441561913,0.004827819219492146,United States,USA,virginia,N,,
3
+ 2024-11-19T22:53:44,578265f7-ebf2-4f25-a655-fbf9408e808f,codecarbon,47.440908908843994,0.0005769877605746902,0.00156308324321251,United States,USA,virginia,N,,
runs/Nov19_22-52-51_ip-10-90-1-182/events.out.tfevents.1732056774.ip-10-90-1-182.3356820.0 CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:485ad4bbfd010072534f063493f148c05a351b7aa16f84d1f245b6379f0f4e2d
3
- size 20574
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4ab90f83f1cabb023218c8218e78600ce89760cf9b2d02d154803e47620d5ed
3
+ size 21251