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---
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: ft-wmt14
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. -->
# ft-wmt14
This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6254
- Bleu: 26.3346
- Gen Len: 26.6907
## 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: 0.0005
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:------:|:------:|:---------------:|:-------:|:-------:|
| 2.3103 | 0.0355 | 10000 | 1.8454 | 22.058 | 27.7263 |
| 2.2141 | 0.0710 | 20000 | 1.7811 | 23.339 | 26.7147 |
| 2.176 | 0.1065 | 30000 | 1.7361 | 24.3234 | 27.125 |
| 2.139 | 0.1419 | 40000 | 1.7131 | 25.0888 | 26.8213 |
| 2.1084 | 0.1774 | 50000 | 1.6874 | 24.9992 | 26.824 |
| 2.0826 | 0.2129 | 60000 | 1.6685 | 25.7297 | 26.62 |
| 2.068 | 0.2484 | 70000 | 1.6485 | 25.9031 | 26.685 |
| 2.05 | 0.2839 | 80000 | 1.6371 | 26.143 | 26.8693 |
| 2.0331 | 0.3194 | 90000 | 1.6311 | 26.3038 | 26.5183 |
| 2.0273 | 0.3549 | 100000 | 1.6254 | 26.3346 | 26.6907 |
### Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
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