---
library_name: transformers
license: apache-2.0
base_model: albert-base-v2
tags:
- generated_from_trainer
model-index:
- name: squadsciencemodeling
  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. -->

# squadsciencemodeling

This model is a fine-tuned version of [albert-base-v2](https://huggingface.co./albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: nan

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 8.8412        | 1.0   | 2000  | nan             |
| 8.3313        | 2.0   | 4000  | nan             |
| 8.5025        | 3.0   | 6000  | nan             |
| 8.0306        | 4.0   | 8000  | nan             |
| 8.2097        | 5.0   | 10000 | nan             |


### Framework versions

- Transformers 4.46.3
- Pytorch 1.12.1+cu113
- Datasets 3.1.0
- Tokenizers 0.20.3