---
tags:
- generated_from_trainer
model-index:
- name: pd_warmup250
  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/ogv5mevp)
# pd_warmup250

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 21.9274
- eval_model_preparation_time: 0.0045
- eval_cer: 2.6007
- eval_wer: 1.0
- eval_runtime: 168.3401
- eval_samples_per_second: 18.629
- eval_steps_per_second: 1.164
- step: 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: 0.0006
- train_batch_size: 16
- eval_batch_size: 16
- seed: 400
- 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: 250
- num_epochs: 30.0
- mixed_precision_training: Native AMP

### Framework versions

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