File size: 1,611 Bytes
72b8994 f97b39d 72b8994 f97b39d 72b8994 f97b39d 72b8994 7500bf5 72b8994 1831dc2 72b8994 f97b39d 72b8994 |
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 |
---
license: cc-by-4.0
base_model: kxx-kkk/FYP_sq2_mrqa_adqa_synqa
tags:
- generated_from_trainer
model-index:
- name: FYP_qa_final
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. -->
# FYP_qa_final
This model is a fine-tuned version of [kxx-kkk/FYP_sq2_mrqa_adqa_synqa](https://huggingface.co./kxx-kkk/FYP_sq2_mrqa_adqa_synqa) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5802
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7511 | 0.48 | 300 | 2.9918 |
| 2.538 | 0.96 | 600 | 2.8853 |
| 2.428 | 1.44 | 900 | 2.6102 |
| 2.408 | 1.92 | 1200 | 2.5302 |
| 2.3025 | 2.4 | 1500 | 2.5252 |
| 2.2878 | 2.88 | 1800 | 2.5802 |
### Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
|