Commit
•
30aa00b
1
Parent(s):
99cd9d6
update model card README.md
Browse files
README.md
ADDED
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: mit
|
3 |
+
tags:
|
4 |
+
- generated_from_trainer
|
5 |
+
metrics:
|
6 |
+
- bleu
|
7 |
+
model-index:
|
8 |
+
- name: iva_mt_wslot-m2m100_418M-0.1.0
|
9 |
+
results: []
|
10 |
+
---
|
11 |
+
|
12 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
13 |
+
should probably proofread and complete it, then remove this comment. -->
|
14 |
+
|
15 |
+
# iva_mt_wslot-m2m100_418M-0.1.0
|
16 |
+
|
17 |
+
This model is a fine-tuned version of [facebook/m2m100_418M](https://huggingface.co/facebook/m2m100_418M) on the None dataset.
|
18 |
+
It achieves the following results on the evaluation set:
|
19 |
+
- Loss: 0.0176
|
20 |
+
- Bleu: 61.6249
|
21 |
+
- Gen Len: 21.157
|
22 |
+
|
23 |
+
## Model description
|
24 |
+
|
25 |
+
More information needed
|
26 |
+
|
27 |
+
## Intended uses & limitations
|
28 |
+
|
29 |
+
More information needed
|
30 |
+
|
31 |
+
## Training and evaluation data
|
32 |
+
|
33 |
+
More information needed
|
34 |
+
|
35 |
+
## Training procedure
|
36 |
+
|
37 |
+
### Training hyperparameters
|
38 |
+
|
39 |
+
The following hyperparameters were used during training:
|
40 |
+
- learning_rate: 2e-05
|
41 |
+
- train_batch_size: 4
|
42 |
+
- eval_batch_size: 4
|
43 |
+
- seed: 42
|
44 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
45 |
+
- lr_scheduler_type: linear
|
46 |
+
- num_epochs: 10
|
47 |
+
- mixed_precision_training: Native AMP
|
48 |
+
|
49 |
+
### Training results
|
50 |
+
|
51 |
+
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|
52 |
+
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
|
53 |
+
| 0.0178 | 1.0 | 5091 | 0.0171 | 57.4439 | 21.1396 |
|
54 |
+
| 0.013 | 2.0 | 10182 | 0.0159 | 58.886 | 21.2285 |
|
55 |
+
| 0.0091 | 3.0 | 15273 | 0.0157 | 60.159 | 21.1222 |
|
56 |
+
| 0.0073 | 4.0 | 20364 | 0.0159 | 60.5893 | 21.1212 |
|
57 |
+
| 0.0054 | 5.0 | 25455 | 0.0161 | 60.6484 | 21.0679 |
|
58 |
+
| 0.004 | 6.0 | 30546 | 0.0166 | 61.5283 | 21.0875 |
|
59 |
+
| 0.0031 | 7.0 | 35637 | 0.0169 | 61.0439 | 21.1562 |
|
60 |
+
| 0.0024 | 8.0 | 40728 | 0.0172 | 61.9427 | 21.2203 |
|
61 |
+
| 0.0018 | 9.0 | 45819 | 0.0175 | 61.7325 | 21.1478 |
|
62 |
+
| 0.0014 | 10.0 | 50910 | 0.0176 | 61.6249 | 21.157 |
|
63 |
+
|
64 |
+
|
65 |
+
### Framework versions
|
66 |
+
|
67 |
+
- Transformers 4.26.1
|
68 |
+
- Pytorch 1.13.1+cu116
|
69 |
+
- Datasets 2.10.1
|
70 |
+
- Tokenizers 0.13.2
|