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res_nw_yem
nlparabic/res_nw_yem
res_nw_yem is a machine learning model from nlparabic. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Aug 31, 2024
- Updated
- Sep 1, 2024
- SHA
- c173919c
Base models
Model card
From the Hugging Face model README
<!-- 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
This model is a fine-tuned version of riotu-lab/ArabianGPT-01B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4655
- Bleu: 0.3947
- Rouge1: 0.5909
- Rouge2: 0.3232
- Rougel: 0.5882
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: 8
- 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 |
|---|---|---|---|---|---|---|---|
| 7.4125 | 1.0 | 153 | 2.3319 | 0.0135 | 0.4043 | 0.1765 | 0.4039 |
| 1.0077 | 2.0 | 306 | 0.5519 | 0.3376 | 0.4747 | 0.1839 | 0.4733 |
| 0.483 | 3.0 | 459 | 0.4973 | 0.3582 | 0.5145 | 0.2200 | 0.5135 |
| 0.3795 | 4.0 | 612 | 0.4739 | 0.3717 | 0.5397 | 0.2524 | 0.5378 |
| 0.2901 | 5.0 | 765 | 0.4691 | 0.3795 | 0.5710 | 0.2927 | 0.5677 |
| 0.2239 | 6.0 | 918 | 0.4655 | 0.3947 | 0.5909 | 0.3232 | 0.5882 |
| 0.1763 | 7.0 | 1071 | 0.4673 | 0.4011 | 0.6047 | 0.3378 | 0.6019 |
| 0.1429 | 8.0 | 1224 | 0.4666 | 0.4085 | 0.6200 | 0.3652 | 0.6168 |
| 0.1206 | 9.0 | 1377 | 0.4765 | 0.4130 | 0.6230 | 0.3707 | 0.6208 |
| 0.1052 | 10.0 | 1530 | 0.4759 | 0.4148 | 0.6233 | 0.3762 | 0.6205 |
| 0.0955 | 11.0 | 1683 | 0.4789 | 0.4179 | 0.6343 | 0.3810 | 0.6307 |
Framework versions
- Transformers 4.45.0.dev0
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Type
- gpt2
- License
- apache-2.0
- Created
- Aug 31, 2024
- Updated
- Sep 1, 2024