metadata
library_name: transformers
license: apache-2.0
base_model: clui/fine2
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: fine3
results: []
fine3
This model is a fine-tuned version of clui/fine2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2159
- Bleu: 14.3787
- Gen Len: 46.7062
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: 64
- eval_batch_size: 16
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.3767 | 1.0 | 2133 | 1.2394 | 14.0964 | 46.4002 |
| 1.3309 | 2.0 | 4266 | 1.2291 | 14.1811 | 46.4653 |
| 1.2996 | 3.0 | 6399 | 1.2227 | 14.3077 | 46.6912 |
| 1.2717 | 4.0 | 8532 | 1.2169 | 14.3494 | 46.75 |
| 1.2582 | 5.0 | 10665 | 1.2159 | 14.3787 | 46.7062 |
Framework versions
- Transformers 4.48.0
- Pytorch 2.4.0
- Datasets 2.19.1
- Tokenizers 0.21.0