metadata
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base
results: []
mt5-base
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.2943
- Bleu: 0.5766
- Gen Len: 9.6098
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 16 | 10.5602 | 0.076 | 3.8049 |
| No log | 2.0 | 32 | 8.3458 | 0.1439 | 5.1951 |
| No log | 3.0 | 48 | 7.5921 | 0.4483 | 9.2683 |
| No log | 4.0 | 64 | 7.2943 | 0.5766 | 9.6098 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2