---
base_model: imvladikon/alephbertgimmel-base-512
tags:
- generated_from_trainer
model-index:
- name: mlm-heb-medical
  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. -->

# mlm-heb-medical

This model is a fine-tuned version of [imvladikon/alephbertgimmel-base-512](https://huggingface.co/imvladikon/alephbertgimmel-base-512) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7673

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.4809        | 1.0   | 5304  | 1.3390          |
| 1.2434        | 2.0   | 10608 | 1.1131          |
| 1.105         | 3.0   | 15912 | 0.9920          |
| 1.0178        | 4.0   | 21216 | 0.9150          |
| 0.961         | 5.0   | 26520 | 0.8706          |
| 0.9326        | 6.0   | 31824 | 0.8399          |
| 0.9119        | 7.0   | 37128 | 0.8179          |
| 0.8716        | 8.0   | 42432 | 0.7860          |
| 0.8644        | 9.0   | 47736 | 0.7903          |
| 0.8666        | 10.0  | 53040 | 0.7676          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.0.1
- Datasets 2.14.6
- Tokenizers 0.14.1