Commit
•
22e94a5
1
Parent(s):
c66f332
update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,83 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
datasets:
|
| 6 |
+
- wmt16
|
| 7 |
+
metrics:
|
| 8 |
+
- bleu
|
| 9 |
+
model-index:
|
| 10 |
+
- name: t5-small-finetuned-de-to-en-fp16
|
| 11 |
+
results:
|
| 12 |
+
- task:
|
| 13 |
+
name: Sequence-to-sequence Language Modeling
|
| 14 |
+
type: text2text-generation
|
| 15 |
+
dataset:
|
| 16 |
+
name: wmt16
|
| 17 |
+
type: wmt16
|
| 18 |
+
args: de-en
|
| 19 |
+
metrics:
|
| 20 |
+
- name: Bleu
|
| 21 |
+
type: bleu
|
| 22 |
+
value: 9.2226
|
| 23 |
+
---
|
| 24 |
+
|
| 25 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 26 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 27 |
+
|
| 28 |
+
# t5-small-finetuned-de-to-en-fp16
|
| 29 |
+
|
| 30 |
+
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the wmt16 dataset.
|
| 31 |
+
It achieves the following results on the evaluation set:
|
| 32 |
+
- Loss: 1.9416
|
| 33 |
+
- Bleu: 9.2226
|
| 34 |
+
- Gen Len: 17.3311
|
| 35 |
+
|
| 36 |
+
## Model description
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Intended uses & limitations
|
| 41 |
+
|
| 42 |
+
More information needed
|
| 43 |
+
|
| 44 |
+
## Training and evaluation data
|
| 45 |
+
|
| 46 |
+
More information needed
|
| 47 |
+
|
| 48 |
+
## Training procedure
|
| 49 |
+
|
| 50 |
+
### Training hyperparameters
|
| 51 |
+
|
| 52 |
+
The following hyperparameters were used during training:
|
| 53 |
+
- learning_rate: 2e-05
|
| 54 |
+
- train_batch_size: 8
|
| 55 |
+
- eval_batch_size: 8
|
| 56 |
+
- seed: 42
|
| 57 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 58 |
+
- lr_scheduler_type: linear
|
| 59 |
+
- num_epochs: 10
|
| 60 |
+
- mixed_precision_training: Native AMP
|
| 61 |
+
|
| 62 |
+
### Training results
|
| 63 |
+
|
| 64 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|
| 65 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
|
| 66 |
+
| No log | 1.0 | 272 | 2.1671 | 3.8489 | 17.6382 |
|
| 67 |
+
| 2.6715 | 2.0 | 544 | 2.0660 | 6.4354 | 17.4905 |
|
| 68 |
+
| 2.6715 | 3.0 | 816 | 2.0206 | 7.4092 | 17.3708 |
|
| 69 |
+
| 2.4325 | 4.0 | 1088 | 1.9926 | 8.1453 | 17.3685 |
|
| 70 |
+
| 2.4325 | 5.0 | 1360 | 1.9739 | 8.6739 | 17.3521 |
|
| 71 |
+
| 2.3312 | 6.0 | 1632 | 1.9602 | 8.8808 | 17.3681 |
|
| 72 |
+
| 2.3312 | 7.0 | 1904 | 1.9509 | 9.1173 | 17.3491 |
|
| 73 |
+
| 2.2946 | 8.0 | 2176 | 1.9465 | 9.1504 | 17.3414 |
|
| 74 |
+
| 2.2946 | 9.0 | 2448 | 1.9426 | 9.2372 | 17.3398 |
|
| 75 |
+
| 2.2665 | 10.0 | 2720 | 1.9416 | 9.2226 | 17.3311 |
|
| 76 |
+
|
| 77 |
+
|
| 78 |
+
### Framework versions
|
| 79 |
+
|
| 80 |
+
- Transformers 4.12.5
|
| 81 |
+
- Pytorch 1.10.0+cu111
|
| 82 |
+
- Datasets 1.16.1
|
| 83 |
+
- Tokenizers 0.10.3
|