---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: psst_batch_size_8_base_model
  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. -->

# psst_batch_size_8_base_model

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6856

## 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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 13.113        | 3.33  | 100  | 3.6542          |
| 3.9221        | 6.67  | 200  | 3.6851          |
| 3.8468        | 10.0  | 300  | 3.7162          |
| 3.7095        | 13.33 | 400  | 3.6988          |
| 3.6987        | 16.67 | 500  | 3.6870          |
| 3.7247        | 20.0  | 600  | 3.6951          |
| 3.6922        | 23.33 | 700  | 3.6682          |
| 3.6862        | 26.67 | 800  | 3.6812          |
| 3.6838        | 30.0  | 900  | 3.6856          |


### Framework versions

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