metadata
library_name: transformers
license: mit
base_model: sophiebui/en-ru_mtmodel
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: en-ru_mtmodel_v1
results: []
en-ru_mtmodel_v1
This model is a fine-tuned version of sophiebui/en-ru_mtmodel on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8443
- Bleu: 44.9157
- Gen Len: 32.0811
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 226 | 0.9394 | 37.9005 | 31.5405 |
| No log | 2.0 | 452 | 0.8537 | 43.6072 | 32.3514 |
| 0.935 | 3.0 | 678 | 0.8400 | 46.3652 | 31.8108 |
| 0.935 | 4.0 | 904 | 0.8482 | 44.6002 | 31.973 |
| 0.4432 | 5.0 | 1130 | 0.8443 | 44.9157 | 32.0811 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1