---
base_model: yikuan8/Clinical-BigBird
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: 20231128_ClinBigBird_10ep_NewLabels
  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. -->

# 20231128_ClinBigBird_10ep_NewLabels

This model is a fine-tuned version of [yikuan8/Clinical-BigBird](https://huggingface.co/yikuan8/Clinical-BigBird) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1090
- Accuracy: 0.78

## 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: 3e-05
- train_batch_size: 12
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 101  | 2.0986          | 0.36     |
| No log        | 2.0   | 202  | 1.3181          | 0.64     |
| No log        | 3.0   | 303  | 1.0754          | 0.76     |
| No log        | 4.0   | 404  | 1.0497          | 0.74     |
| 1.1293        | 5.0   | 505  | 1.0520          | 0.76     |
| 1.1293        | 6.0   | 606  | 1.0080          | 0.78     |
| 1.1293        | 7.0   | 707  | 1.0404          | 0.77     |
| 1.1293        | 8.0   | 808  | 1.1186          | 0.76     |
| 1.1293        | 9.0   | 909  | 1.1090          | 0.78     |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.1+cu118
- Datasets 2.10.1
- Tokenizers 0.14.1