---
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