update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
datasets:
|
| 5 |
+
- coco
|
| 6 |
+
metrics:
|
| 7 |
+
- rouge
|
| 8 |
+
- bleu
|
| 9 |
+
model-index:
|
| 10 |
+
- name: IC_ver2_coco_swin_gpt2_5pc_1e
|
| 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 |
+
# IC_ver2_coco_swin_gpt2_5pc_1e
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [](https://huggingface.co/) on the coco dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 0.9972
|
| 22 |
+
- Rouge1: 34.8608
|
| 23 |
+
- Rouge2: 10.9857
|
| 24 |
+
- Rougel: 32.1905
|
| 25 |
+
- Rougelsum: 32.1794
|
| 26 |
+
- Bleu: 6.1162
|
| 27 |
+
- Gen Len: 11.2887
|
| 28 |
+
|
| 29 |
+
## Model description
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Intended uses & limitations
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training and evaluation data
|
| 38 |
+
|
| 39 |
+
More information needed
|
| 40 |
+
|
| 41 |
+
## Training procedure
|
| 42 |
+
|
| 43 |
+
### Training hyperparameters
|
| 44 |
+
|
| 45 |
+
The following hyperparameters were used during training:
|
| 46 |
+
- learning_rate: 5e-05
|
| 47 |
+
- train_batch_size: 64
|
| 48 |
+
- eval_batch_size: 64
|
| 49 |
+
- seed: 42
|
| 50 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 51 |
+
- lr_scheduler_type: linear
|
| 52 |
+
- num_epochs: 1
|
| 53 |
+
|
| 54 |
+
### Training results
|
| 55 |
+
|
| 56 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Gen Len |
|
| 57 |
+
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:------:|:-------:|
|
| 58 |
+
| 1.4995 | 0.23 | 100 | 1.1227 | 28.4179 | 5.9026 | 26.5601 | 26.5682 | 3.0237 | 11.2887 |
|
| 59 |
+
| 1.136 | 0.45 | 200 | 1.0506 | 31.4866 | 8.9504 | 29.1403 | 29.0996 | 4.2965 | 11.2887 |
|
| 60 |
+
| 1.0899 | 0.68 | 300 | 1.0203 | 33.9899 | 10.3576 | 31.6646 | 31.6435 | 5.5456 | 11.2887 |
|
| 61 |
+
| 1.057 | 0.9 | 400 | 0.9972 | 34.8608 | 10.9857 | 32.1905 | 32.1794 | 6.1162 | 11.2887 |
|
| 62 |
+
|
| 63 |
+
|
| 64 |
+
### Framework versions
|
| 65 |
+
|
| 66 |
+
- Transformers 4.30.2
|
| 67 |
+
- Pytorch 2.0.1+cu118
|
| 68 |
+
- Datasets 2.13.1
|
| 69 |
+
- Tokenizers 0.13.3
|