Commit
•
c27ef25
1
Parent(s):
d48a282
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
tags:
|
| 3 |
+
- generated_from_trainer
|
| 4 |
+
metrics:
|
| 5 |
+
- rouge
|
| 6 |
+
model-index:
|
| 7 |
+
- name: speller-t5-finetuned
|
| 8 |
+
results: []
|
| 9 |
+
---
|
| 10 |
+
|
| 11 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 12 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 13 |
+
|
| 14 |
+
# speller-t5-finetuned
|
| 15 |
+
|
| 16 |
+
This model is a fine-tuned version of [UrukHan/t5-russian-spell](https://huggingface.co/UrukHan/t5-russian-spell) on the None dataset.
|
| 17 |
+
It achieves the following results on the evaluation set:
|
| 18 |
+
- Loss: 0.0737
|
| 19 |
+
- Rouge1: 25.3988
|
| 20 |
+
- Rouge2: 11.756
|
| 21 |
+
- Rougel: 25.051
|
| 22 |
+
- Rougelsum: 25.2041
|
| 23 |
+
- Gen Len: 41.3929
|
| 24 |
+
|
| 25 |
+
## Model description
|
| 26 |
+
|
| 27 |
+
More information needed
|
| 28 |
+
|
| 29 |
+
## Intended uses & limitations
|
| 30 |
+
|
| 31 |
+
More information needed
|
| 32 |
+
|
| 33 |
+
## Training and evaluation data
|
| 34 |
+
|
| 35 |
+
More information needed
|
| 36 |
+
|
| 37 |
+
## Training procedure
|
| 38 |
+
|
| 39 |
+
### Training hyperparameters
|
| 40 |
+
|
| 41 |
+
The following hyperparameters were used during training:
|
| 42 |
+
- learning_rate: 5e-05
|
| 43 |
+
- train_batch_size: 8
|
| 44 |
+
- eval_batch_size: 8
|
| 45 |
+
- seed: 42
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 1
|
| 49 |
+
- mixed_precision_training: Native AMP
|
| 50 |
+
|
| 51 |
+
### Training results
|
| 52 |
+
|
| 53 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|
| 54 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
|
| 55 |
+
| 0.1861 | 0.07 | 1000 | 0.1074 | 24.351 | 9.9107 | 24.0512 | 24.1443 | 41.4375 |
|
| 56 |
+
| 0.1629 | 0.14 | 2000 | 0.0918 | 25.1414 | 11.3393 | 24.8541 | 24.9175 | 41.3839 |
|
| 57 |
+
| 0.1545 | 0.21 | 3000 | 0.0898 | 25.2909 | 11.5882 | 24.981 | 25.0772 | 41.2857 |
|
| 58 |
+
| 0.1507 | 0.29 | 4000 | 0.0860 | 25.1414 | 11.3393 | 24.8541 | 24.9175 | 41.3571 |
|
| 59 |
+
| 0.1472 | 0.36 | 5000 | 0.0823 | 25.2909 | 11.5882 | 24.981 | 25.0772 | 41.3661 |
|
| 60 |
+
| 0.1417 | 0.43 | 6000 | 0.0794 | 24.6565 | 10.2976 | 24.265 | 24.4006 | 41.4107 |
|
| 61 |
+
| 0.1411 | 0.5 | 7000 | 0.0788 | 25.1414 | 11.3393 | 24.8541 | 24.9175 | 41.3482 |
|
| 62 |
+
| 0.1395 | 0.57 | 8000 | 0.0786 | 25.2909 | 11.5882 | 24.981 | 25.0772 | 41.3125 |
|
| 63 |
+
| 0.1318 | 0.64 | 9000 | 0.0774 | 25.2909 | 11.5882 | 24.981 | 25.0772 | 41.3929 |
|
| 64 |
+
| 0.1336 | 0.72 | 10000 | 0.0758 | 25.2394 | 11.5476 | 24.9777 | 25.0511 | 41.3839 |
|
| 65 |
+
| 0.1332 | 0.79 | 11000 | 0.0743 | 25.2394 | 11.5476 | 24.9777 | 25.0511 | 41.3482 |
|
| 66 |
+
| 0.1309 | 0.86 | 12000 | 0.0734 | 25.2394 | 11.5476 | 24.9777 | 25.0511 | 41.3393 |
|
| 67 |
+
| 0.1264 | 0.93 | 13000 | 0.0737 | 25.3988 | 11.756 | 25.051 | 25.2041 | 41.3929 |
|
| 68 |
+
|
| 69 |
+
|
| 70 |
+
### Framework versions
|
| 71 |
+
|
| 72 |
+
- Transformers 4.26.0
|
| 73 |
+
- Pytorch 1.13.1+cu116
|
| 74 |
+
- Datasets 2.9.0
|
| 75 |
+
- Tokenizers 0.13.2
|