metadata
base_model: mika5883/Pretrained_ReCl8
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: RULEC_GPT
results: []
RULEC_GPT
This model is a fine-tuned version of mika5883/Pretrained_ReCl8 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2285
- Bleu: 86.5591
- Gen Len: 23.055
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: 4e-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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 46 | 0.1353 | 89.9046 | 23.172 |
| No log | 2.0 | 92 | 0.1213 | 90.3517 | 23.16 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2