Model save
Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,81 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
license: other
|
| 4 |
+
base_model: apple/mobilevit-small
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- accuracy
|
| 9 |
+
model-index:
|
| 10 |
+
- name: mobilevit-small_alpha0.7_temp5.0
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# mobilevit-small_alpha0.7_temp5.0
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [apple/mobilevit-small](https://huggingface.co/apple/mobilevit-small) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.8711
|
| 22 |
+
- Accuracy: 0.6403
|
| 23 |
+
|
| 24 |
+
## Model description
|
| 25 |
+
|
| 26 |
+
More information needed
|
| 27 |
+
|
| 28 |
+
## Intended uses & limitations
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Training and evaluation data
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training procedure
|
| 37 |
+
|
| 38 |
+
### Training hyperparameters
|
| 39 |
+
|
| 40 |
+
The following hyperparameters were used during training:
|
| 41 |
+
- learning_rate: 5e-05
|
| 42 |
+
- train_batch_size: 64
|
| 43 |
+
- eval_batch_size: 64
|
| 44 |
+
- seed: 42
|
| 45 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 46 |
+
- lr_scheduler_type: linear
|
| 47 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 48 |
+
- num_epochs: 20
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 53 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 54 |
+
| 1.1311 | 1.0 | 90 | 1.4279 | 0.2470 |
|
| 55 |
+
| 1.0789 | 2.0 | 180 | 1.3331 | 0.3192 |
|
| 56 |
+
| 0.9867 | 3.0 | 270 | 1.2525 | 0.3864 |
|
| 57 |
+
| 0.8433 | 4.0 | 360 | 1.0671 | 0.4970 |
|
| 58 |
+
| 0.7496 | 5.0 | 450 | 0.9999 | 0.5603 |
|
| 59 |
+
| 0.6948 | 6.0 | 540 | 0.9374 | 0.5988 |
|
| 60 |
+
| 0.6495 | 7.0 | 630 | 0.9065 | 0.6146 |
|
| 61 |
+
| 0.6101 | 8.0 | 720 | 0.9331 | 0.6008 |
|
| 62 |
+
| 0.5591 | 9.0 | 810 | 0.8673 | 0.6571 |
|
| 63 |
+
| 0.5406 | 10.0 | 900 | 0.8705 | 0.6235 |
|
| 64 |
+
| 0.5188 | 11.0 | 990 | 0.8579 | 0.6630 |
|
| 65 |
+
| 0.4875 | 12.0 | 1080 | 0.8809 | 0.6324 |
|
| 66 |
+
| 0.4596 | 13.0 | 1170 | 0.8904 | 0.6324 |
|
| 67 |
+
| 0.4418 | 14.0 | 1260 | 0.8596 | 0.6542 |
|
| 68 |
+
| 0.4385 | 15.0 | 1350 | 0.8769 | 0.6304 |
|
| 69 |
+
| 0.4175 | 16.0 | 1440 | 0.8625 | 0.6561 |
|
| 70 |
+
| 0.413 | 17.0 | 1530 | 0.8578 | 0.6571 |
|
| 71 |
+
| 0.3973 | 18.0 | 1620 | 0.8573 | 0.6581 |
|
| 72 |
+
| 0.3964 | 19.0 | 1710 | 0.8550 | 0.6680 |
|
| 73 |
+
| 0.4004 | 20.0 | 1800 | 0.8711 | 0.6403 |
|
| 74 |
+
|
| 75 |
+
|
| 76 |
+
### Framework versions
|
| 77 |
+
|
| 78 |
+
- Transformers 4.45.2
|
| 79 |
+
- Pytorch 2.5.0+cu124
|
| 80 |
+
- Datasets 3.0.1
|
| 81 |
+
- Tokenizers 0.20.1
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 29269968
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:73d40906b7c9395469709dc349ac889e6e14124a35fb1207ec3d709b995b55f4
|
| 3 |
size 29269968
|