metadata
base_model: mika5883/inverse_gec
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: inverse_gec_finetuned
results: []
inverse_gec_finetuned
This model is a fine-tuned version of mika5883/inverse_gec on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4594
- Bleu: 82.2574
- Gen Len: 22.4784
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 40 | 0.3337 | 84.782 | 22.4412 |
| No log | 2.0 | 80 | 0.2966 | 84.9348 | 22.4536 |
| No log | 3.0 | 120 | 0.2708 | 85.0786 | 22.4484 |
| No log | 4.0 | 160 | 0.2561 | 85.1691 | 22.4416 |
| No log | 5.0 | 200 | 0.2517 | 85.2139 | 22.44 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2