pytorch tensorboard bert text-generation transformers generated_from_trainer model-index
---
tags:
- generated_from_trainer
model-index:
- name: scibert_scivocab_uncased_finetuned_leukaemia
  results: []
---

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# scibert_scivocab_uncased_finetuned_leukaemia

This model is a fine-tuned version of [allenai/scibert_scivocab_uncased](https://huggingface.co/allenai/scibert_scivocab_uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4985

## 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.742         | 1.0   | 50   | 2.9184          |
| 0.7729        | 2.0   | 100  | 1.0324          |
| 0.697         | 3.0   | 150  | 0.5968          |
| 0.6573        | 4.0   | 200  | 0.4985          |


### Framework versions

- Transformers 4.20.0
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
