Model save
Browse files- README.md +79 -0
- model.safetensors +1 -1
README.md
ADDED
|
@@ -0,0 +1,79 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- accuracy
|
| 7 |
+
model-index:
|
| 8 |
+
- name: beit-base-patch16-384_alpha0.7_temp5.0
|
| 9 |
+
results: []
|
| 10 |
+
---
|
| 11 |
+
|
| 12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 13 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 14 |
+
|
| 15 |
+
# beit-base-patch16-384_alpha0.7_temp5.0
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.5116
|
| 20 |
+
- Accuracy: 0.8419
|
| 21 |
+
|
| 22 |
+
## Model description
|
| 23 |
+
|
| 24 |
+
More information needed
|
| 25 |
+
|
| 26 |
+
## Intended uses & limitations
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Training and evaluation data
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training procedure
|
| 35 |
+
|
| 36 |
+
### Training hyperparameters
|
| 37 |
+
|
| 38 |
+
The following hyperparameters were used during training:
|
| 39 |
+
- learning_rate: 5e-05
|
| 40 |
+
- train_batch_size: 64
|
| 41 |
+
- eval_batch_size: 64
|
| 42 |
+
- seed: 42
|
| 43 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 44 |
+
- lr_scheduler_type: linear
|
| 45 |
+
- lr_scheduler_warmup_ratio: 0.1
|
| 46 |
+
- num_epochs: 20
|
| 47 |
+
|
| 48 |
+
### Training results
|
| 49 |
+
|
| 50 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 51 |
+
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 52 |
+
| 1.098 | 1.0 | 90 | 1.3922 | 0.3063 |
|
| 53 |
+
| 0.8736 | 2.0 | 180 | 0.9673 | 0.6136 |
|
| 54 |
+
| 0.5416 | 3.0 | 270 | 0.6812 | 0.7599 |
|
| 55 |
+
| 0.3877 | 4.0 | 360 | 0.5916 | 0.7984 |
|
| 56 |
+
| 0.2839 | 5.0 | 450 | 0.5838 | 0.8063 |
|
| 57 |
+
| 0.2368 | 6.0 | 540 | 0.5499 | 0.8182 |
|
| 58 |
+
| 0.2149 | 7.0 | 630 | 0.6019 | 0.7984 |
|
| 59 |
+
| 0.1883 | 8.0 | 720 | 0.5797 | 0.8053 |
|
| 60 |
+
| 0.1724 | 9.0 | 810 | 0.5546 | 0.8251 |
|
| 61 |
+
| 0.1587 | 10.0 | 900 | 0.5658 | 0.8231 |
|
| 62 |
+
| 0.1592 | 11.0 | 990 | 0.5165 | 0.8231 |
|
| 63 |
+
| 0.1455 | 12.0 | 1080 | 0.5143 | 0.8300 |
|
| 64 |
+
| 0.1438 | 13.0 | 1170 | 0.5300 | 0.8330 |
|
| 65 |
+
| 0.1303 | 14.0 | 1260 | 0.5376 | 0.8271 |
|
| 66 |
+
| 0.1306 | 15.0 | 1350 | 0.5235 | 0.8281 |
|
| 67 |
+
| 0.1274 | 16.0 | 1440 | 0.5012 | 0.8399 |
|
| 68 |
+
| 0.121 | 17.0 | 1530 | 0.5207 | 0.8370 |
|
| 69 |
+
| 0.1197 | 18.0 | 1620 | 0.5180 | 0.8370 |
|
| 70 |
+
| 0.1189 | 19.0 | 1710 | 0.5124 | 0.8409 |
|
| 71 |
+
| 0.1157 | 20.0 | 1800 | 0.5116 | 0.8419 |
|
| 72 |
+
|
| 73 |
+
|
| 74 |
+
### Framework versions
|
| 75 |
+
|
| 76 |
+
- Transformers 4.45.2
|
| 77 |
+
- Pytorch 2.5.0+cu124
|
| 78 |
+
- Datasets 3.0.1
|
| 79 |
+
- 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 356800920
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f066ccfea846cbaa99b7a69753de3a271323af18f36b70cc5bd9c16f9db74081
|
| 3 |
size 356800920
|