---
tags:
- generated_from_trainer
model-index:
- name: baseline
  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. -->

# baseline

This model is a fine-tuned version of [](https://huggingface.co./) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4307
- Exact Match: 0.0

## 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: 0.001
- train_batch_size: 100
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 400
- optimizer: Adam with betas=(0.98,0.999) and epsilon=1e-08
- lr_scheduler_type: inverse_sqrt
- lr_scheduler_warmup_steps: 4000
- num_epochs: 20
- label_smoothing_factor: 0.1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Exact Match |
|:-------------:|:-----:|:----:|:---------------:|:-----------:|
| 6.3427        | 1.0   | 25   | 5.7961          | 0.0         |
| 5.7757        | 2.0   | 50   | 4.8370          | 0.0         |
| 5.0702        | 3.0   | 75   | 4.3284          | 0.0         |
| 4.6064        | 4.0   | 100  | 4.0447          | 0.0         |
| 4.3415        | 5.0   | 125  | 3.8892          | 0.0         |
| 4.1863        | 6.0   | 150  | 3.7803          | 0.0         |
| 4.0684        | 7.0   | 175  | 3.6724          | 0.0         |
| 3.9449        | 8.0   | 200  | 3.5356          | 0.0         |
| 3.7922        | 9.0   | 225  | 3.3716          | 0.0         |
| 3.6343        | 10.0  | 250  | 3.2232          | 0.0         |
| 3.4833        | 11.0  | 275  | 3.0938          | 0.0         |
| 3.3374        | 12.0  | 300  | 2.9880          | 0.0         |
| 3.2006        | 13.0  | 325  | 2.8960          | 0.0         |
| 3.0796        | 14.0  | 350  | 2.8199          | 0.0         |
| 2.9739        | 15.0  | 375  | 2.7270          | 0.0         |
| 2.8824        | 16.0  | 400  | 2.6369          | 0.0         |
| 2.8           | 17.0  | 425  | 2.5811          | 0.0         |
| 2.7323        | 18.0  | 450  | 2.5184          | 0.0         |
| 2.6596        | 19.0  | 475  | 2.4946          | 0.0         |
| 2.5931        | 20.0  | 500  | 2.4307          | 0.0         |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0