File size: 1,818 Bytes
15d20db |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 |
---
base_model: csebuetnlp/mT5_multilingual_XLSum
tags:
- generated_from_trainer
model-index:
- name: GeneralNews_9_loadbest
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. -->
# GeneralNews_9_loadbest
This model is a fine-tuned version of [csebuetnlp/mT5_multilingual_XLSum](https://huggingface.co./csebuetnlp/mT5_multilingual_XLSum) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.7052
## 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: 16
- eval_batch_size: 16
- 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: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4665 | 1.0 | 500 | 3.0865 |
| 3.2219 | 2.0 | 1000 | 2.8680 |
| 3.0254 | 3.0 | 1500 | 2.7771 |
| 2.8798 | 4.0 | 2000 | 2.7572 |
| 2.7943 | 5.0 | 2500 | 2.7339 |
| 2.6988 | 6.0 | 3000 | 2.7126 |
| 2.4587 | 7.0 | 3500 | 2.7086 |
| 2.4769 | 8.0 | 4000 | 2.7076 |
| 2.5388 | 9.0 | 4500 | 2.7075 |
| 2.4411 | 10.0 | 5000 | 2.7052 |
### Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1
|