update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- summarization
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- rouge
|
| 8 |
+
model-index:
|
| 9 |
+
- name: mt5-small
|
| 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 |
+
# mt5-small
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 2.3524
|
| 21 |
+
- Rouge1: 21.18
|
| 22 |
+
- Rouge2: 6.37
|
| 23 |
+
- Rougel: 20.84
|
| 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: 0.0001
|
| 43 |
+
- train_batch_size: 9
|
| 44 |
+
- eval_batch_size: 9
|
| 45 |
+
- seed: 42
|
| 46 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
+
- lr_scheduler_type: linear
|
| 48 |
+
- num_epochs: 50
|
| 49 |
+
|
| 50 |
+
### Training results
|
| 51 |
+
|
| 52 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel |
|
| 53 |
+
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|
|
| 54 |
+
| 4.6211 | 1.45 | 500 | 2.5968 | 16.96 | 4.86 | 16.73 |
|
| 55 |
+
| 3.1269 | 2.9 | 1000 | 2.4790 | 17.62 | 5.0 | 17.58 |
|
| 56 |
+
| 2.884 | 4.35 | 1500 | 2.4077 | 17.67 | 5.06 | 17.4 |
|
| 57 |
+
| 2.7627 | 5.8 | 2000 | 2.4003 | 18.67 | 5.42 | 18.26 |
|
| 58 |
+
| 2.638 | 7.25 | 2500 | 2.3953 | 18.76 | 5.49 | 18.44 |
|
| 59 |
+
| 2.5427 | 8.7 | 3000 | 2.3837 | 18.97 | 6.04 | 18.62 |
|
| 60 |
+
| 2.4846 | 10.14 | 3500 | 2.3957 | 20.17 | 6.23 | 19.88 |
|
| 61 |
+
| 2.3867 | 11.59 | 4000 | 2.3558 | 19.5 | 6.24 | 19.1 |
|
| 62 |
+
| 2.3651 | 13.04 | 4500 | 2.3225 | 19.6 | 6.18 | 19.2 |
|
| 63 |
+
| 2.2846 | 14.49 | 5000 | 2.3385 | 19.34 | 6.3 | 18.9 |
|
| 64 |
+
| 2.2351 | 15.94 | 5500 | 2.3413 | 20.42 | 6.44 | 19.93 |
|
| 65 |
+
| 2.1862 | 17.39 | 6000 | 2.3418 | 20.04 | 6.35 | 19.51 |
|
| 66 |
+
| 2.1375 | 18.84 | 6500 | 2.3438 | 21.02 | 6.56 | 20.45 |
|
| 67 |
+
| 2.0961 | 20.29 | 7000 | 2.3451 | 20.82 | 6.81 | 20.6 |
|
| 68 |
+
| 2.0686 | 21.74 | 7500 | 2.3571 | 20.46 | 6.57 | 20.03 |
|
| 69 |
+
| 2.0253 | 23.19 | 8000 | 2.3672 | 20.49 | 6.21 | 20.16 |
|
| 70 |
+
| 1.9997 | 24.64 | 8500 | 2.3524 | 21.18 | 6.37 | 20.84 |
|
| 71 |
+
| 1.9627 | 26.09 | 9000 | 2.3780 | 20.9 | 5.96 | 20.4 |
|
| 72 |
+
| 1.9561 | 27.54 | 9500 | 2.3808 | 21.06 | 6.59 | 20.76 |
|
| 73 |
+
| 1.902 | 28.99 | 10000 | 2.3739 | 20.73 | 6.09 | 20.41 |
|
| 74 |
+
| 1.8837 | 30.43 | 10500 | 2.3786 | 20.65 | 6.27 | 20.35 |
|
| 75 |
+
| 1.8587 | 31.88 | 11000 | 2.3853 | 20.44 | 6.23 | 20.0 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.26.1
|
| 81 |
+
- Pytorch 1.13.1+cu116
|
| 82 |
+
- Datasets 2.10.1
|
| 83 |
+
- Tokenizers 0.13.2
|