metadata
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: SadNews_2_20epochs
results: []
SadNews_2_20epochs
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.2760
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3998 | 0.76 | 500 | 2.8591 |
| 2.8316 | 1.52 | 1000 | 2.5640 |
| 2.3969 | 2.29 | 1500 | 2.4411 |
| 1.8762 | 3.05 | 2000 | 2.4241 |
| 1.9914 | 3.81 | 2500 | 2.3928 |
| 1.8294 | 4.57 | 3000 | 2.4093 |
| 1.7505 | 5.34 | 3500 | 2.4674 |
| 1.313 | 6.1 | 4000 | 2.5457 |
| 1.5311 | 6.86 | 4500 | 2.4944 |
| 1.2645 | 7.62 | 5000 | 2.5876 |
| 1.0581 | 8.38 | 5500 | 2.6490 |
| 1.2508 | 9.15 | 6000 | 2.7311 |
| 1.3671 | 9.91 | 6500 | 2.7163 |
| 0.9799 | 10.67 | 7000 | 2.7751 |
| 1.03 | 11.43 | 7500 | 2.8911 |
| 0.8382 | 12.2 | 8000 | 2.9649 |
| 1.0784 | 12.96 | 8500 | 2.9205 |
| 0.7969 | 13.72 | 9000 | 3.0321 |
| 0.7965 | 14.48 | 9500 | 3.0564 |
| 0.7737 | 15.24 | 10000 | 3.1322 |
| 0.591 | 16.01 | 10500 | 3.1051 |
| 0.8767 | 16.77 | 11000 | 3.1922 |
| 0.6458 | 17.53 | 11500 | 3.2355 |
| 0.591 | 18.29 | 12000 | 3.2301 |
| 0.6428 | 19.05 | 12500 | 3.2603 |
| 0.7789 | 19.82 | 13000 | 3.2760 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2