Model save
Browse files
README.md
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: transformers
|
| 3 |
+
base_model: OFA-Sys/chinese-clip-vit-base-patch16
|
| 4 |
+
tags:
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- accuracy
|
| 8 |
+
model-index:
|
| 9 |
+
- name: sentance_split_by_aoi_ocr_None_2
|
| 10 |
+
results: []
|
| 11 |
+
---
|
| 12 |
+
|
| 13 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
+
|
| 16 |
+
# sentance_split_by_aoi_ocr_None_2
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [OFA-Sys/chinese-clip-vit-base-patch16](https://huggingface.co/OFA-Sys/chinese-clip-vit-base-patch16) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 3.4765
|
| 21 |
+
- Accuracy: 0.1935
|
| 22 |
+
|
| 23 |
+
## Model description
|
| 24 |
+
|
| 25 |
+
More information needed
|
| 26 |
+
|
| 27 |
+
## Intended uses & limitations
|
| 28 |
+
|
| 29 |
+
More information needed
|
| 30 |
+
|
| 31 |
+
## Training and evaluation data
|
| 32 |
+
|
| 33 |
+
More information needed
|
| 34 |
+
|
| 35 |
+
## Training procedure
|
| 36 |
+
|
| 37 |
+
### Training hyperparameters
|
| 38 |
+
|
| 39 |
+
The following hyperparameters were used during training:
|
| 40 |
+
- learning_rate: 1e-05
|
| 41 |
+
- train_batch_size: 25
|
| 42 |
+
- eval_batch_size: 20
|
| 43 |
+
- seed: 42
|
| 44 |
+
- gradient_accumulation_steps: 8
|
| 45 |
+
- total_train_batch_size: 200
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 60.0
|
| 49 |
+
- mixed_precision_training: Native AMP
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|
| 54 |
+
|:-------------:|:-------:|:----:|:---------------:|:--------:|
|
| 55 |
+
| 1.2383 | 5.9676 | 276 | 2.6388 | 0.2417 |
|
| 56 |
+
| 0.9769 | 11.9351 | 552 | 2.8174 | 0.2247 |
|
| 57 |
+
| 0.8157 | 17.9027 | 828 | 3.1486 | 0.2148 |
|
| 58 |
+
| 0.7322 | 23.8703 | 1104 | 3.3020 | 0.2080 |
|
| 59 |
+
| 0.6777 | 29.8378 | 1380 | 3.3933 | 0.2026 |
|
| 60 |
+
| 0.6466 | 35.8054 | 1656 | 3.4180 | 0.1995 |
|
| 61 |
+
| 0.6273 | 41.7730 | 1932 | 3.4385 | 0.1971 |
|
| 62 |
+
| 0.6188 | 47.7405 | 2208 | 3.4671 | 0.1953 |
|
| 63 |
+
| 0.6051 | 53.7081 | 2484 | 3.4631 | 0.1944 |
|
| 64 |
+
| 0.6049 | 59.6757 | 2760 | 3.4765 | 0.1935 |
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
### Framework versions
|
| 68 |
+
|
| 69 |
+
- Transformers 4.45.2
|
| 70 |
+
- Pytorch 2.3.1+cu121
|
| 71 |
+
- Datasets 2.20.0
|
| 72 |
+
- Tokenizers 0.20.0
|