metadata
language:
- lo
- vi
base_model: ladoza03/tst-translation
tags:
- generated_from_trainer
model-index:
- name: tst-translation
results: []
tst-translation
This model is a fine-tuned version of ladoza03/tst-translation on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 1.1219
- eval_bleu: 30.1585
- eval_gen_len: 55.5424
- eval_runtime: 826.2423
- eval_samples_per_second: 2.441
- eval_steps_per_second: 0.306
- step: 0
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: 4e-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: 20.0
Framework versions
- Transformers 4.41.0.dev0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.19.1