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_alpha0.5_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_alpha0.5_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: 0.8477
|
| 22 |
+
- Accuracy: 0.6709
|
| 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 |
+
| 1.2117 | 1.0 | 90 | 1.4099 | 0.2451 |
|
| 55 |
+
| 1.1611 | 2.0 | 180 | 1.3374 | 0.2945 |
|
| 56 |
+
| 1.0726 | 3.0 | 270 | 1.2361 | 0.3794 |
|
| 57 |
+
| 0.9066 | 4.0 | 360 | 1.0439 | 0.5168 |
|
| 58 |
+
| 0.8097 | 5.0 | 450 | 0.9753 | 0.5800 |
|
| 59 |
+
| 0.7541 | 6.0 | 540 | 0.9093 | 0.6146 |
|
| 60 |
+
| 0.7054 | 7.0 | 630 | 0.8776 | 0.6344 |
|
| 61 |
+
| 0.6567 | 8.0 | 720 | 0.9050 | 0.6136 |
|
| 62 |
+
| 0.6028 | 9.0 | 810 | 0.8489 | 0.6670 |
|
| 63 |
+
| 0.585 | 10.0 | 900 | 0.8526 | 0.6453 |
|
| 64 |
+
| 0.5614 | 11.0 | 990 | 0.8427 | 0.6690 |
|
| 65 |
+
| 0.5282 | 12.0 | 1080 | 0.8506 | 0.6611 |
|
| 66 |
+
| 0.4993 | 13.0 | 1170 | 0.8682 | 0.6492 |
|
| 67 |
+
| 0.4814 | 14.0 | 1260 | 0.8370 | 0.6769 |
|
| 68 |
+
| 0.4798 | 15.0 | 1350 | 0.8531 | 0.6640 |
|
| 69 |
+
| 0.4554 | 16.0 | 1440 | 0.8401 | 0.6709 |
|
| 70 |
+
| 0.4514 | 17.0 | 1530 | 0.8405 | 0.6690 |
|
| 71 |
+
| 0.4313 | 18.0 | 1620 | 0.8409 | 0.6729 |
|
| 72 |
+
| 0.4352 | 19.0 | 1710 | 0.8418 | 0.6749 |
|
| 73 |
+
| 0.4362 | 20.0 | 1800 | 0.8477 | 0.6709 |
|
| 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 sha256:39a8e658568283382f3622da8901c04555f001704a12f42f89c33320d552ca9e
|
| 3 |
size 29269968
|