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---
license: other
base_model: aubmindlab/aragpt2-large
tags:
- generated_from_trainer
metrics:
- bleu
- rouge
model-index:
- name: res_nw_yem_aragpt2-large
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. -->
# res_nw_yem_aragpt2-large
This model is a fine-tuned version of [aubmindlab/aragpt2-large](https://huggingface.co/aubmindlab/aragpt2-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0469
- Bleu: 0.0733
- Rouge1: 0.3956
- Rouge2: 0.1677
- Rougel: 0.3901
## 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: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 20.0
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Rouge1 | Rouge2 | Rougel |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:------:|
| 0.8644 | 1.0 | 305 | 0.0499 | 0.0310 | 0.2976 | 0.0825 | 0.2932 |
| 0.0439 | 2.0 | 610 | 0.0469 | 0.0733 | 0.3956 | 0.1677 | 0.3901 |
| 0.0307 | 3.0 | 915 | 0.0474 | 0.0901 | 0.4411 | 0.2093 | 0.4361 |
| 0.0212 | 4.0 | 1220 | 0.0497 | 0.1039 | 0.4643 | 0.2315 | 0.4591 |
| 0.016 | 5.0 | 1525 | 0.0541 | 0.0923 | 0.4641 | 0.2229 | 0.4600 |
| 0.0134 | 6.0 | 1830 | 0.0531 | 0.1160 | 0.4746 | 0.2503 | 0.4699 |
| 0.0118 | 7.0 | 2135 | 0.0578 | 0.1113 | 0.4976 | 0.2714 | 0.4940 |
### Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
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