metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: >-
mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
results: []
mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210-finetuned-MultiHead-230214
This model is a fine-tuned version of Shularp/mt5-small-finetuned-MultiHead-230207-finetuned-MultiHead-230210 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0046
- Bleu: 17.7500
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 2.4438 | 1.0 | 33611 | 2.0445 | 16.6555 |
| 2.3878 | 2.0 | 67222 | 2.0143 | 17.3884 |
| 2.3861 | 3.0 | 100833 | 2.0046 | 17.7500 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2