Commit
•
f364a26
1
Parent(s):
fbfe799
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_1.2B-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_1.2B-0.1.0
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [facebook/m2m100_1.2B](https://huggingface.co/facebook/m2m100_1.2B) on the None dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.3082
|
| 20 |
+
- Bleu: 62.4604
|
| 21 |
+
- Gen Len: 21.2847
|
| 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 |
+
| 0.2744 | 1.0 | 5091 | 0.2555 | 58.5119 | 21.0728 |
|
| 54 |
+
| 0.1829 | 2.0 | 10182 | 0.2475 | 59.7364 | 21.0769 |
|
| 55 |
+
| 0.1124 | 3.0 | 15273 | 0.2499 | 61.3552 | 21.06 |
|
| 56 |
+
| 0.0783 | 4.0 | 20364 | 0.2597 | 61.6618 | 21.2402 |
|
| 57 |
+
| 0.0496 | 5.0 | 25455 | 0.2698 | 62.1942 | 21.2901 |
|
| 58 |
+
| 0.0318 | 6.0 | 30546 | 0.2798 | 61.9068 | 21.3399 |
|
| 59 |
+
| 0.0204 | 7.0 | 35637 | 0.2893 | 61.7753 | 21.3102 |
|
| 60 |
+
| 0.0138 | 8.0 | 40728 | 0.2979 | 62.3925 | 21.3238 |
|
| 61 |
+
| 0.009 | 9.0 | 45819 | 0.3034 | 62.4942 | 21.2516 |
|
| 62 |
+
| 0.0058 | 10.0 | 50910 | 0.3082 | 62.4604 | 21.2847 |
|
| 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
|