---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: batch_size_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. -->

# batch_size_2

This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8600

## 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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 200
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 13.2945       | 1.69  | 200  | 3.6357          |
| 3.737         | 3.38  | 400  | 3.6624          |
| 3.707         | 5.06  | 600  | 3.6271          |
| 3.6038        | 6.75  | 800  | 3.5749          |
| 3.4502        | 8.44  | 1000 | 3.2693          |
| 3.1641        | 10.13 | 1200 | 2.9155          |
| 2.6047        | 11.81 | 1400 | 2.3544          |
| 2.0028        | 13.5  | 1600 | 2.0022          |
| 1.5415        | 15.19 | 1800 | 1.8024          |
| 1.1696        | 16.88 | 2000 | 1.7754          |
| 0.8809        | 18.57 | 2200 | 1.6793          |
| 0.7591        | 20.25 | 2400 | 1.8127          |
| 0.6056        | 21.94 | 2600 | 1.7993          |
| 0.5091        | 23.63 | 2800 | 1.7812          |
| 0.4569        | 25.32 | 3000 | 1.7781          |
| 0.4167        | 27.0  | 3200 | 1.8802          |
| 0.3432        | 28.69 | 3400 | 1.8600          |


### Framework versions

- Transformers 4.28.0
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.2