metadata
base_model: silmi224/finetune-led-35000
tags:
- generated_from_trainer
model-index:
- name: led-risalah-v5
results: []
led-risalah-v5
This model is a fine-tuned version of silmi224/finetune-led-35000 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5242
- Rouge1 Precision: 0.676
- Rouge1 Recall: 0.1721
- Rouge1 Fmeasure: 0.2728
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 Precision | Rouge1 Recall | Rouge1 Fmeasure |
|---|---|---|---|---|---|---|
| No log | 1.0 | 70 | 1.6479 | 0.6178 | 0.1618 | 0.2556 |
| 1.8512 | 2.0 | 140 | 1.5744 | 0.6561 | 0.174 | 0.2745 |
| 1.4296 | 3.0 | 210 | 1.5595 | 0.6617 | 0.1704 | 0.2702 |
| 1.4296 | 4.0 | 280 | 1.5402 | 0.685 | 0.1719 | 0.274 |
| 1.1976 | 5.0 | 350 | 1.5242 | 0.676 | 0.1721 | 0.2728 |
| 1.0638 | 6.0 | 420 | 1.5383 | 0.6886 | 0.182 | 0.2873 |
| 1.0638 | 7.0 | 490 | 1.5652 | 0.6636 | 0.1757 | 0.2771 |
| 0.9657 | 8.0 | 560 | 1.5797 | 0.6788 | 0.172 | 0.2733 |
| 0.9215 | 9.0 | 630 | 1.5960 | 0.6644 | 0.1715 | 0.2715 |
| 0.849 | 10.0 | 700 | 1.5943 | 0.6581 | 0.1693 | 0.2681 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.14.5
- Tokenizers 0.15.1