update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,72 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- summarization
|
| 5 |
+
- generated_from_trainer
|
| 6 |
+
metrics:
|
| 7 |
+
- rouge
|
| 8 |
+
model-index:
|
| 9 |
+
- name: mt5-base-wikinewssum-portuguese
|
| 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-base-wikinewssum-portuguese
|
| 17 |
+
|
| 18 |
+
This model is a fine-tuned version of [google/mt5-base](https://huggingface.co/google/mt5-base) on an unknown dataset.
|
| 19 |
+
It achieves the following results on the evaluation set:
|
| 20 |
+
- Loss: 2.0428
|
| 21 |
+
- Rouge1: 9.4966
|
| 22 |
+
- Rouge2: 4.2224
|
| 23 |
+
- Rougel: 7.9845
|
| 24 |
+
- Rougelsum: 8.8641
|
| 25 |
+
|
| 26 |
+
## Model description
|
| 27 |
+
|
| 28 |
+
More information needed
|
| 29 |
+
|
| 30 |
+
## Intended uses & limitations
|
| 31 |
+
|
| 32 |
+
More information needed
|
| 33 |
+
|
| 34 |
+
## Training and evaluation data
|
| 35 |
+
|
| 36 |
+
More information needed
|
| 37 |
+
|
| 38 |
+
## Training procedure
|
| 39 |
+
|
| 40 |
+
### Training hyperparameters
|
| 41 |
+
|
| 42 |
+
The following hyperparameters were used during training:
|
| 43 |
+
- learning_rate: 5.6e-05
|
| 44 |
+
- train_batch_size: 4
|
| 45 |
+
- eval_batch_size: 4
|
| 46 |
+
- seed: 42
|
| 47 |
+
- gradient_accumulation_steps: 2
|
| 48 |
+
- total_train_batch_size: 8
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- num_epochs: 8
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|
| 56 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|
|
| 57 |
+
| No log | 1.0 | 334 | 2.2258 | 7.3686 | 2.9066 | 6.3167 | 6.8758 |
|
| 58 |
+
| No log | 2.0 | 668 | 2.1389 | 9.0551 | 3.8395 | 7.6578 | 8.4641 |
|
| 59 |
+
| No log | 3.0 | 1002 | 2.1030 | 9.2792 | 3.9352 | 7.8259 | 8.663 |
|
| 60 |
+
| No log | 4.0 | 1336 | 2.0841 | 9.337 | 4.0647 | 7.8662 | 8.693 |
|
| 61 |
+
| 3.2831 | 5.0 | 1670 | 2.0487 | 9.4244 | 4.0821 | 7.8633 | 8.7111 |
|
| 62 |
+
| 3.2831 | 6.0 | 2004 | 2.0580 | 9.4598 | 4.1598 | 7.9511 | 8.8299 |
|
| 63 |
+
| 3.2831 | 7.0 | 2338 | 2.0426 | 9.501 | 4.1885 | 7.9803 | 8.8612 |
|
| 64 |
+
| 3.2831 | 8.0 | 2672 | 2.0428 | 9.4966 | 4.2224 | 7.9845 | 8.8641 |
|
| 65 |
+
|
| 66 |
+
|
| 67 |
+
### Framework versions
|
| 68 |
+
|
| 69 |
+
- Transformers 4.13.0
|
| 70 |
+
- Pytorch 1.10.1
|
| 71 |
+
- Datasets 1.16.1
|
| 72 |
+
- Tokenizers 0.10.3
|