metadata
license: apache-2.0
base_model: google-t5/t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: al-wmt14
results: []
al-wmt14
This model is a fine-tuned version of google-t5/t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7427
- Bleu: 51.2627
- Gen Len: 26.713
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 |
|---|---|---|---|---|---|
| 0.8503 | 0.2778 | 10000 | 0.9749 | 41.49 | 27.2803 |
| 0.7082 | 0.5556 | 20000 | 0.8905 | 44.7235 | 26.6963 |
| 0.6407 | 0.8333 | 30000 | 0.8530 | 46.6914 | 27.019 |
| 0.573 | 1.1111 | 40000 | 0.8260 | 47.4882 | 26.6827 |
| 0.5438 | 1.3889 | 50000 | 0.8017 | 48.472 | 26.8617 |
| 0.5263 | 1.6667 | 60000 | 0.7810 | 49.0812 | 26.8817 |
| 0.5091 | 1.9444 | 70000 | 0.7654 | 49.9355 | 26.7853 |
| 0.4699 | 2.2222 | 80000 | 0.7605 | 50.3601 | 26.72 |
| 0.4597 | 2.5 | 90000 | 0.7488 | 50.92 | 26.8803 |
| 0.454 | 2.7778 | 100000 | 0.7427 | 51.2627 | 26.713 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1