Davidsamuel101
commited on
Commit
•
34a1307
1
Parent(s):
943d9c4
update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
model-index:
|
6 |
+
- name: byt5-small-wikipron-eng-latn-us-broad-p2g
|
7 |
+
results: []
|
8 |
+
---
|
9 |
+
|
10 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
11 |
+
should probably proofread and complete it, then remove this comment. -->
|
12 |
+
|
13 |
+
# byt5-small-wikipron-eng-latn-us-broad-p2g
|
14 |
+
|
15 |
+
This model is a fine-tuned version of [google/byt5-small](https://huggingface.co/google/byt5-small) on the None dataset.
|
16 |
+
It achieves the following results on the evaluation set:
|
17 |
+
- Loss: 0.2595
|
18 |
+
- Per: 0.4628
|
19 |
+
- Gen Len: 8.4996
|
20 |
+
|
21 |
+
## Model description
|
22 |
+
|
23 |
+
More information needed
|
24 |
+
|
25 |
+
## Intended uses & limitations
|
26 |
+
|
27 |
+
More information needed
|
28 |
+
|
29 |
+
## Training and evaluation data
|
30 |
+
|
31 |
+
More information needed
|
32 |
+
|
33 |
+
## Training procedure
|
34 |
+
|
35 |
+
### Training hyperparameters
|
36 |
+
|
37 |
+
The following hyperparameters were used during training:
|
38 |
+
- learning_rate: 0.0002
|
39 |
+
- train_batch_size: 128
|
40 |
+
- eval_batch_size: 32
|
41 |
+
- seed: 42
|
42 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
43 |
+
- lr_scheduler_type: linear
|
44 |
+
- lr_scheduler_warmup_ratio: 0.1
|
45 |
+
- num_epochs: 10.0
|
46 |
+
|
47 |
+
### Training results
|
48 |
+
|
49 |
+
| Training Loss | Epoch | Step | Validation Loss | Per | Gen Len |
|
50 |
+
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
|
51 |
+
| 2.4797 | 1.0 | 382 | 0.4371 | 0.6951 | 8.4302 |
|
52 |
+
| 0.4823 | 2.0 | 764 | 0.3543 | 0.5974 | 8.4338 |
|
53 |
+
| 0.3878 | 3.0 | 1146 | 0.3081 | 0.545 | 8.4394 |
|
54 |
+
| 0.3378 | 4.0 | 1528 | 0.2904 | 0.518 | 8.449 |
|
55 |
+
| 0.3061 | 5.0 | 1910 | 0.2736 | 0.5004 | 8.4612 |
|
56 |
+
| 0.2823 | 6.0 | 2292 | 0.2664 | 0.4893 | 8.4734 |
|
57 |
+
| 0.265 | 7.0 | 2674 | 0.2626 | 0.4747 | 8.4721 |
|
58 |
+
| 0.2502 | 8.0 | 3056 | 0.2612 | 0.4697 | 8.4945 |
|
59 |
+
| 0.2388 | 9.0 | 3438 | 0.2592 | 0.4633 | 8.489 |
|
60 |
+
| 0.231 | 10.0 | 3820 | 0.2595 | 0.4628 | 8.4996 |
|
61 |
+
|
62 |
+
|
63 |
+
### Framework versions
|
64 |
+
|
65 |
+
- Transformers 4.28.1
|
66 |
+
- Pytorch 2.0.0+cu117
|
67 |
+
- Datasets 2.11.1.dev0
|
68 |
+
- Tokenizers 0.13.2
|