File size: 1,486 Bytes
e2188f6 5f3a4d8 e2188f6 5f3a4d8 e2188f6 5f3a4d8 e2188f6 5f3a4d8 e2188f6 |
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 |
---
tags:
- generated_from_trainer
model-index:
- name: chinese-pert-large-finetuned-med-zh
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. -->
# chinese-pert-large-finetuned-med-zh
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4370
## 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: 0.0001
- 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
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.9428 | 1.0 | 14081 | 10.3783 |
| 0.8847 | 2.0 | 28162 | 6.8072 |
| 0.8689 | 3.0 | 42243 | 1.3781 |
| 0.8592 | 4.0 | 56324 | 5.5274 |
| 0.8734 | 5.0 | 70405 | 1.4370 |
### Framework versions
- Transformers 4.13.0
- Pytorch 1.8.0+cu111
- Datasets 2.4.0
- Tokenizers 0.10.3
|