update model card README.md
Browse files
README.md
ADDED
|
@@ -0,0 +1,70 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: apache-2.0
|
| 3 |
+
tags:
|
| 4 |
+
- generated_from_trainer
|
| 5 |
+
metrics:
|
| 6 |
+
- bleu
|
| 7 |
+
model-index:
|
| 8 |
+
- name: opus-mt-en-mul-finetuned-lfn-to-en
|
| 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 |
+
# opus-mt-en-mul-finetuned-lfn-to-en
|
| 16 |
+
|
| 17 |
+
This model is a fine-tuned version of [Helsinki-NLP/opus-mt-en-mul](https://huggingface.co/Helsinki-NLP/opus-mt-en-mul) on an unknown dataset.
|
| 18 |
+
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 0.6208
|
| 20 |
+
- Bleu: 62.9717
|
| 21 |
+
- Gen Len: 11.5165
|
| 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: 32
|
| 42 |
+
- eval_batch_size: 32
|
| 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 |
+
| No log | 1.0 | 290 | 0.9193 | 51.7454 | 11.5088 |
|
| 54 |
+
| 1.2009 | 2.0 | 580 | 0.7614 | 56.6817 | 11.4971 |
|
| 55 |
+
| 1.2009 | 3.0 | 870 | 0.6865 | 59.4575 | 11.4815 |
|
| 56 |
+
| 0.6524 | 4.0 | 1160 | 0.6545 | 60.9631 | 11.5088 |
|
| 57 |
+
| 0.6524 | 5.0 | 1450 | 0.6360 | 61.8171 | 11.5039 |
|
| 58 |
+
| 0.4903 | 6.0 | 1740 | 0.6337 | 61.9929 | 11.5049 |
|
| 59 |
+
| 0.4064 | 7.0 | 2030 | 0.6269 | 62.8025 | 11.5146 |
|
| 60 |
+
| 0.4064 | 8.0 | 2320 | 0.6234 | 62.5979 | 11.5292 |
|
| 61 |
+
| 0.3434 | 9.0 | 2610 | 0.6197 | 63.0131 | 11.5428 |
|
| 62 |
+
| 0.3434 | 10.0 | 2900 | 0.6208 | 62.9717 | 11.5165 |
|
| 63 |
+
|
| 64 |
+
|
| 65 |
+
### Framework versions
|
| 66 |
+
|
| 67 |
+
- Transformers 4.27.3
|
| 68 |
+
- Pytorch 1.13.1+cu116
|
| 69 |
+
- Datasets 2.10.1
|
| 70 |
+
- Tokenizers 0.13.2
|