Delete README.md
Browse files
README.md
DELETED
|
@@ -1,66 +0,0 @@
|
|
| 1 |
-
---
|
| 2 |
-
base_model: facebook/mbart-large-50-many-to-many-mmt
|
| 3 |
-
tags:
|
| 4 |
-
- translation
|
| 5 |
-
- en-to-ne
|
| 6 |
-
metrics:
|
| 7 |
-
- bleu
|
| 8 |
-
model-index:
|
| 9 |
-
- name: mbart-en-np-seqtoseq-sentence-translation
|
| 10 |
-
results: []
|
| 11 |
-
---
|
| 12 |
-
|
| 13 |
-
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 14 |
-
should probably proofread and complete it, then remove this comment. -->
|
| 15 |
-
|
| 16 |
-
[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/darvilab/Training%20Sentence%20Translation/runs/nul533k2)
|
| 17 |
-
# mbart-en-np-seqtoseq-sentence-translation
|
| 18 |
-
|
| 19 |
-
This model is a fine-tuned version of [facebook/mbart-large-50-many-to-many-mmt](https://huggingface.co/facebook/mbart-large-50-many-to-many-mmt) on an unknown dataset.
|
| 20 |
-
It achieves the following results on the evaluation set:
|
| 21 |
-
- Loss: 1.1896
|
| 22 |
-
- Bleu: 40.4595
|
| 23 |
-
- Gen Len: 10.288
|
| 24 |
-
|
| 25 |
-
## Model description
|
| 26 |
-
|
| 27 |
-
More information needed
|
| 28 |
-
|
| 29 |
-
## Intended uses & limitations
|
| 30 |
-
|
| 31 |
-
More information needed
|
| 32 |
-
|
| 33 |
-
## Training and evaluation data
|
| 34 |
-
|
| 35 |
-
More information needed
|
| 36 |
-
|
| 37 |
-
## Training procedure
|
| 38 |
-
|
| 39 |
-
### Training hyperparameters
|
| 40 |
-
|
| 41 |
-
The following hyperparameters were used during training:
|
| 42 |
-
- learning_rate: 2e-05
|
| 43 |
-
- train_batch_size: 8
|
| 44 |
-
- eval_batch_size: 8
|
| 45 |
-
- seed: 42
|
| 46 |
-
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 47 |
-
- lr_scheduler_type: linear
|
| 48 |
-
- num_epochs: 5
|
| 49 |
-
|
| 50 |
-
### Training results
|
| 51 |
-
|
| 52 |
-
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|
| 53 |
-
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
|
| 54 |
-
| 1.0147 | 1.0 | 1250 | 0.9876 | 40.1501 | 9.885 |
|
| 55 |
-
| 0.6038 | 2.0 | 2500 | 1.0122 | 40.728 | 10.113 |
|
| 56 |
-
| 0.3557 | 3.0 | 3750 | 1.0809 | 35.9297 | 10.844 |
|
| 57 |
-
| 0.2071 | 4.0 | 5000 | 1.1502 | 40.4318 | 10.28 |
|
| 58 |
-
| 0.1241 | 5.0 | 6250 | 1.1896 | 40.4595 | 10.288 |
|
| 59 |
-
|
| 60 |
-
|
| 61 |
-
### Framework versions
|
| 62 |
-
|
| 63 |
-
- Transformers 4.42.4
|
| 64 |
-
- Pytorch 2.4.0+cu121
|
| 65 |
-
- Datasets 2.21.0
|
| 66 |
-
- Tokenizers 0.19.1
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|