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---
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
|