---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: pseudolabeling-step2-F01-Pass-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. -->

# pseudolabeling-step2-F01-Pass-2

This model is a fine-tuned version of [monideep2255/XLRS-torgo](https://huggingface.co/monideep2255/XLRS-torgo) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2704
- Wer: 1.1942

## 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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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: 500
- num_epochs: 30
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.9509        | 2.94  | 400  | 1.1949          | 1.2734 |
| 0.5686        | 5.88  | 800  | 1.0452          | 1.2266 |
| 0.4179        | 8.82  | 1200 | 1.1876          | 1.2032 |
| 0.3137        | 11.76 | 1600 | 1.2691          | 1.2572 |
| 0.2329        | 14.7  | 2000 | 1.2944          | 1.2104 |
| 0.1851        | 17.64 | 2400 | 1.4389          | 1.2626 |
| 0.1427        | 20.59 | 2800 | 1.3325          | 1.2608 |
| 0.1101        | 23.53 | 3200 | 1.4132          | 1.2176 |
| 0.0805        | 26.47 | 3600 | 1.3443          | 1.2482 |
| 0.0645        | 29.41 | 4000 | 1.2704          | 1.1942 |


### Framework versions

- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2