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---
base_model: mika5883/Pretrained_ReCl8
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: RULEC_PUNCT
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# RULEC_PUNCT
This model is a fine-tuned version of [mika5883/Pretrained_ReCl8](https://huggingface.co/mika5883/Pretrained_ReCl8) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2246
- Bleu: 87.7841
- Gen Len: 23.4204
## 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: 3.83229e-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 | 47 | 0.1715 | 90.2127 | 23.5376 |
| No log | 2.0 | 94 | 0.1579 | 90.6111 | 23.5388 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
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