metadata
language:
- en
- he
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: output_base
results: []
output_base
This model is a fine-tuned version of /home/ec2-user/SageMaker/marian_base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6852
- Bleu: 30.5903
- Gen Len: 64.8182
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: 5e-05
- train_batch_size: 48
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.9938 | 1.0 | 188563 | 2.0008 | 27.6169 | 66.0246 |
| 1.8171 | 2.0 | 377126 | 1.8753 | 28.4709 | 65.8859 |
| 1.7389 | 3.0 | 565689 | 1.8120 | 28.9724 | 65.8601 |
| 1.6893 | 4.0 | 754252 | 1.7690 | 29.5248 | 65.8846 |
| 1.6559 | 5.0 | 942815 | 1.7467 | 29.5757 | 65.8046 |
| 1.6279 | 6.0 | 1131378 | 1.7236 | 29.7512 | 66.0482 |
| 1.6053 | 7.0 | 1319941 | 1.7137 | 29.916 | 66.0031 |
| 1.5871 | 8.0 | 1508504 | 1.7007 | 30.1671 | 65.8853 |
| 1.5694 | 9.0 | 1697067 | 1.6921 | 30.3613 | 65.9506 |
| 1.5539 | 10.0 | 1885630 | 1.6852 | 30.4049 | 66.0487 |
Framework versions
- Transformers 4.12.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 1.12.1
- Tokenizers 0.10.3