---
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: output
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/priyanshipal/huggingface/runs/hvo6b5jz)
# output

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9947
- Cer: 0.4133
- Wer: 0.6195

## 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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 300
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- training_steps: 6000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 1.5851        | 1.6   | 1000 | 1.9947          | 0.4133 | 0.6195 |
| 1.8352        | 3.2   | 2000 | 2.1491          | 0.4724 | 0.7895 |
| 2.3755        | 4.8   | 3000 | 2.3793          | 0.4433 | 0.7270 |
| 3.3134        | 6.4   | 4000 | 3.3025          | 0.5204 | 0.8033 |
| 3.4098        | 8.0   | 5000 | 3.2885          | 0.5196 | 0.8050 |
| 3.1155        | 9.6   | 6000 | 3.2885          | 0.5196 | 0.8050 |


### Framework versions

- Transformers 4.43.1
- Pytorch 2.4.0
- Datasets 2.20.0
- Tokenizers 0.19.1