metadata
library_name: transformers
license: apache-2.0
base_model: clui/my_awesome_opus_books_model
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: fine
results: []
fine
This model is a fine-tuned version of clui/my_awesome_opus_books_model on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.3081
- Bleu: 13.0948
- Gen Len: 46.6407
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: Use OptimizerNames.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: 3
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
1.4705 | 1.0 | 4251 | 1.3386 | 12.7303 | 46.7126 |
1.4137 | 2.0 | 8502 | 1.3173 | 12.9823 | 46.4627 |
1.3692 | 3.0 | 12753 | 1.3081 | 13.0948 | 46.6407 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.21.0