metadata
library_name: transformers
license: apache-2.0
base_model: google/mt5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-base-spanish-yoremnokki
results: []
mt5-base-spanish-yoremnokki
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.8910
- Bleu: 20.9873
- Gen Len: 12.2218
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 7
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
2.9865 | 0.9997 | 1728 | 2.4599 | 19.12 | 12.2553 |
2.5084 | 2.0 | 3457 | 2.1867 | 20.9775 | 12.815 |
2.2879 | 2.9997 | 5185 | 2.0527 | 20.9572 | 12.537 |
2.1599 | 4.0 | 6914 | 1.9781 | 21.1008 | 12.4693 |
2.1032 | 4.9997 | 8642 | 1.9272 | 21.1189 | 12.4292 |
2.0649 | 6.0 | 10371 | 1.8999 | 20.9375 | 12.2177 |
1.9988 | 6.9980 | 12096 | 1.8910 | 20.9873 | 12.2218 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3