File size: 3,122 Bytes
09eb499 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 |
---
tags:
- generated_from_trainer
datasets:
- open_subtitles
metrics:
- bleu
model-index:
- name: opus-mt-id-en-open-subtitles
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: open_subtitles
type: open_subtitles
config: en-id
split: train
args: en-id
metrics:
- name: Bleu
type: bleu
value: 36.9382
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# opus-mt-id-en-open-subtitles
This model was trained from scratch on the open_subtitles dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8430
- Bleu: 36.9382
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 25
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:------:|:---------------:|:-------:|
| 1.3533 | 1.0 | 28125 | 1.3274 | 37.6662 |
| 1.2814 | 2.0 | 56250 | 1.3525 | 37.5909 |
| 1.2058 | 3.0 | 84375 | 1.3674 | 37.8008 |
| 1.1415 | 4.0 | 112500 | 1.3722 | 37.4849 |
| 1.0842 | 5.0 | 140625 | 1.3943 | 37.7558 |
| 1.0309 | 6.0 | 168750 | 1.3994 | 37.6332 |
| 0.9802 | 7.0 | 196875 | 1.4216 | 37.7529 |
| 0.9316 | 8.0 | 225000 | 1.4304 | 37.9906 |
| 0.8838 | 9.0 | 253125 | 1.4462 | 37.7833 |
| 0.8378 | 10.0 | 281250 | 1.4639 | 37.5971 |
| 0.7921 | 11.0 | 309375 | 1.4859 | 37.6285 |
| 0.7484 | 12.0 | 337500 | 1.5060 | 37.5413 |
| 0.7043 | 13.0 | 365625 | 1.5256 | 37.5118 |
| 0.6622 | 14.0 | 393750 | 1.5555 | 37.5092 |
| 0.6208 | 15.0 | 421875 | 1.5733 | 37.2924 |
| 0.5807 | 16.0 | 450000 | 1.6048 | 37.319 |
| 0.542 | 17.0 | 478125 | 1.6435 | 37.0629 |
| 0.5043 | 18.0 | 506250 | 1.6647 | 37.1334 |
| 0.4685 | 19.0 | 534375 | 1.7014 | 37.02 |
| 0.4352 | 20.0 | 562500 | 1.7300 | 36.9514 |
| 0.4031 | 21.0 | 590625 | 1.7572 | 36.9637 |
| 0.3731 | 22.0 | 618750 | 1.7902 | 36.9821 |
| 0.346 | 23.0 | 646875 | 1.8112 | 36.9586 |
| 0.3227 | 24.0 | 675000 | 1.8325 | 36.9286 |
| 0.303 | 25.0 | 703125 | 1.8430 | 36.9382 |
### Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0
|