---
license: apache-2.0
base_model: Palak/albert-base-v2_squad
tags:
- generated_from_trainer
model-index:
- name: albert_v2_lookup_spending_category
  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. -->

# albert_v2_lookup_spending_category

This model is a fine-tuned version of [Palak/albert-base-v2_squad](https://huggingface.co/Palak/albert-base-v2_squad) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0406

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 84   | 0.0321          |
| No log        | 2.0   | 168  | 0.0358          |
| No log        | 3.0   | 252  | 0.0372          |
| No log        | 4.0   | 336  | 0.0381          |
| No log        | 5.0   | 420  | 0.0388          |
| 0.0064        | 6.0   | 504  | 0.0393          |
| 0.0064        | 7.0   | 588  | 0.0398          |
| 0.0064        | 8.0   | 672  | 0.0401          |
| 0.0064        | 9.0   | 756  | 0.0403          |
| 0.0064        | 10.0  | 840  | 0.0405          |
| 0.0064        | 11.0  | 924  | 0.0406          |
| 0.0           | 12.0  | 1008 | 0.0406          |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1