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-10e6encdec
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: 11.9553
opus-mt-en-bkm-10e6encdec
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: 1.2348
- Bleu: 11.9553
- Gen Len: 59.1988
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 | 1.4043 | 8.6981 | 61.258 |
| 1.5617 | 2.0 | 974 | 1.3571 | 9.509 | 60.8748 |
| 1.4774 | 3.0 | 1461 | 1.3228 | 10.2845 | 59.9297 |
| 1.4163 | 4.0 | 1948 | 1.2973 | 10.6005 | 58.8915 |
| 1.3617 | 5.0 | 2435 | 1.2759 | 11.0695 | 60.2136 |
| 1.3197 | 6.0 | 2922 | 1.2600 | 11.3475 | 59.4659 |
| 1.2935 | 7.0 | 3409 | 1.2475 | 11.6735 | 60.2644 |
| 1.263 | 8.0 | 3896 | 1.2408 | 11.8938 | 59.1946 |
| 1.244 | 9.0 | 4383 | 1.2357 | 12.0332 | 59.48 |
| 1.2308 | 10.0 | 4870 | 1.2348 | 11.9553 | 59.1988 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2