metadata
tags:
- generated_from_trainer
datasets:
- ccmatrix
metrics:
- bleu
model-index:
- name: opus-mt-en-id-ccmatrix-v2
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: ccmatrix
type: ccmatrix
config: en-id
split: train
args: en-id
metrics:
- name: Bleu
type: bleu
value: 61.047
opus-mt-en-id-ccmatrix-v2
This model was trained from scratch on the ccmatrix dataset. It achieves the following results on the evaluation set:
- Loss: 0.6976
- Bleu: 61.047
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: 1e-05
- 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 0.7247 | 1.0 | 148438 | 0.7471 | 59.75 |
| 0.6448 | 2.0 | 296876 | 0.7208 | 60.3385 |
| 0.6157 | 3.0 | 445314 | 0.7081 | 60.7261 |
| 0.5982 | 4.0 | 593752 | 0.7009 | 60.9462 |
| 0.5872 | 5.0 | 742190 | 0.6976 | 61.047 |
Framework versions
- Transformers 4.26.1
- Pytorch 2.0.0
- Datasets 2.10.1
- Tokenizers 0.11.0