metadata
license: apache-2.0
base_model: Tahsin-Mayeesha/squad-bn-mt5-base2
tags:
- simplification
- generated_from_trainer
metrics:
- bleu
model-index:
- name: traductor_es_en
results: []
traductor_es_en
This model is a fine-tuned version of Tahsin-Mayeesha/squad-bn-mt5-base2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.5293
- Bleu: 7.0139
- Gen Len: 17.3797
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 320 | 1.5821 | 6.4196 | 17.3641 |
| 2.4998 | 2.0 | 640 | 1.5293 | 7.0139 | 17.3797 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1