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---
base_model: ihebaker10/spark-name-ka-to-en
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: spark-name-zh-to-en
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# spark-name-zh-to-en
This model is a fine-tuned version of [ihebaker10/spark-name-ka-to-en](https://huggingface.co/ihebaker10/spark-name-ka-to-en) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3571
- Bleu: 0.4007
- Gen Len: 13.1744
## 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: 16
- eval_batch_size: 16
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|
| 4.5771 | 1.0 | 1600 | 4.5729 | 0.6348 | 48.9281 |
| 4.2727 | 2.0 | 3200 | 4.4437 | 0.3449 | 13.7372 |
| 4.1169 | 3.0 | 4800 | 4.3856 | 0.3302 | 14.0606 |
| 3.9978 | 4.0 | 6400 | 4.3584 | 0.3945 | 13.1856 |
| 3.9164 | 5.0 | 8000 | 4.3571 | 0.4007 | 13.1744 |
### Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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