metadata
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base_2
results: []
mt5-base_2
This model is a fine-tuned version of obokkkk/mt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1742
- Bleu: 9.479
- Gen Len: 16.9226
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 2048
- 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 |
|---|---|---|---|---|---|
| No log | 1.0 | 183 | 1.1834 | 9.3761 | 16.9129 |
| No log | 2.0 | 366 | 1.1791 | 9.422 | 16.9334 |
| 1.3969 | 3.0 | 549 | 1.1764 | 9.4432 | 16.9082 |
| 1.3969 | 4.0 | 732 | 1.1749 | 9.461 | 16.9157 |
| 1.3969 | 5.0 | 915 | 1.1742 | 9.479 | 16.9226 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1