---
tags:
- generated_from_trainer
model-index:
- name: medberta_v2
  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. -->

# medberta_v2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7111

## 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: 7e-05
- train_batch_size: 72
- eval_batch_size: 72
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.9168        | 0.96  | 40000  | 0.8666          |
| 0.8392        | 1.91  | 80000  | 0.7871          |
| 0.7867        | 2.87  | 120000 | 0.7432          |
| 0.7418        | 3.83  | 160000 | 0.7111          |


### Framework versions

- Transformers 4.19.2
- Pytorch 1.10.0+cu113
- Datasets 1.16.1
- Tokenizers 0.12.1