transformers tensorboard safetensors t5 text2text-generation translation generated_from_trainer base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: google-t5/t5-small
library_name: transformers
license: apache-2.0
metrics:
- bleu
tags:
- translation
- generated_from_trainer
model-index:
- name: t5-small-finetuned-v2-chinese-to-hausa
  results: []
---

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# t5-small-finetuned-v2-chinese-to-hausa

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7757
- Bleu: 1.9523
- Gen Len: 18.6997

## 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: 0.0006
- train_batch_size: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 3000
- num_epochs: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu   | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|
| 3.5237        | 1.0   | 1103  | 2.5564          | 0.9857 | 18.8055 |
| 2.5377        | 2.0   | 2206  | 2.1815          | 1.6392 | 18.7259 |
| 2.2418        | 3.0   | 3309  | 2.0216          | 1.8732 | 18.5659 |
| 2.0818        | 4.0   | 4412  | 1.9331          | 1.9183 | 18.1569 |
| 1.9874        | 5.0   | 5515  | 1.8834          | 1.6409 | 18.0559 |
| 1.9213        | 6.0   | 6618  | 1.8511          | 1.9679 | 18.6534 |
| 1.8712        | 7.0   | 7721  | 1.8295          | 1.8632 | 18.4841 |
| 1.8292        | 8.0   | 8824  | 1.8101          | 2.5462 | 18.5024 |
| 1.7949        | 9.0   | 9927  | 1.7990          | 1.847  | 18.3106 |
| 1.7666        | 10.0  | 11030 | 1.7867          | 1.849  | 18.4893 |
| 1.7428        | 11.0  | 12133 | 1.7826          | 1.7849 | 18.6368 |
| 1.7256        | 12.0  | 13236 | 1.7757          | 1.9587 | 18.7077 |
| 1.7124        | 13.0  | 14339 | 1.7746          | 2.2943 | 18.5367 |
| 1.7051        | 14.0  | 15442 | 1.7757          | 1.9676 | 18.7081 |
| 1.7001        | 15.0  | 16545 | 1.7757          | 1.9523 | 18.6997 |


### Framework versions

- Transformers 4.45.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.20.1
