metadata
license: apache-2.0
base_model: kalese/opus-mt-en-bkm-10e64
tags:
- generated_from_trainer
datasets:
- arrow
metrics:
- bleu
model-index:
- name: opus-mt-en-bkm-10e10encdec
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: arrow
type: arrow
config: default
split: train
args: default
metrics:
- name: Bleu
type: bleu
value: 12.0707
opus-mt-en-bkm-10e10encdec
This model is a fine-tuned version of kalese/opus-mt-en-bkm-10e64 on the arrow dataset. It achieves the following results on the evaluation set:
- Loss: 1.2361
- Bleu: 12.0707
- Gen Len: 59.4315
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: 2e-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
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 487 | 1.3987 | 8.8903 | 60.2246 |
| 1.5613 | 2.0 | 974 | 1.3545 | 9.5185 | 60.2484 |
| 1.4784 | 3.0 | 1461 | 1.3220 | 10.1143 | 59.757 |
| 1.4123 | 4.0 | 1948 | 1.2958 | 10.6244 | 59.5823 |
| 1.3625 | 5.0 | 2435 | 1.2744 | 11.0208 | 59.4767 |
| 1.3202 | 6.0 | 2922 | 1.2603 | 11.3956 | 59.1844 |
| 1.2875 | 7.0 | 3409 | 1.2498 | 11.6882 | 60.2625 |
| 1.2628 | 8.0 | 3896 | 1.2414 | 11.8521 | 59.6434 |
| 1.2431 | 9.0 | 4383 | 1.2381 | 11.9893 | 59.6424 |
| 1.2245 | 10.0 | 4870 | 1.2361 | 12.0707 | 59.4315 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2