---
license: apache-2.0
base_model: anandNakat/bart_math_solver
tags:
- generated_from_trainer
model-index:
- name: bart_math_solver
  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. -->

# bart_math_solver

This model is a fine-tuned version of [anandNakat/bart_math_solver](https://huggingface.co/anandNakat/bart_math_solver) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7365

## 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: 4
- eval_batch_size: 4
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 221  | 0.6829          |
| No log        | 2.0   | 442  | 0.4829          |
| 0.2857        | 3.0   | 663  | 1.2298          |
| 0.2857        | 4.0   | 884  | 0.4878          |
| 0.2399        | 5.0   | 1105 | 1.1191          |
| 0.2399        | 6.0   | 1326 | 0.6093          |
| 0.1495        | 7.0   | 1547 | 0.5928          |
| 0.1495        | 8.0   | 1768 | 0.5647          |
| 0.1495        | 9.0   | 1989 | 0.6989          |
| 0.0935        | 10.0  | 2210 | 0.7365          |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1