---
license: apache-2.0
base_model: facebook/bart-large
tags:
- generated_from_trainer
model-index:
- name: bart_math_solver_2
  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_2

This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6739

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6678        | 1.0   | 221  | 0.6366          |
| 0.6333        | 2.0   | 442  | 0.6897          |
| 0.612         | 3.0   | 663  | 0.6775          |
| 0.5361        | 4.0   | 884  | 0.6384          |
| 0.5411        | 5.0   | 1105 | 0.6976          |
| 0.5831        | 6.0   | 1326 | 0.6655          |
| 0.5733        | 7.0   | 1547 | 0.6790          |
| 0.5658        | 8.0   | 1768 | 0.6739          |


### Framework versions

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