---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: psst_batch_size_4_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_4_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: 3.6743

## 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 14.1952       | 1.68  | 100  | 3.6352          |
| 3.9092        | 3.36  | 200  | 3.7223          |
| 3.9981        | 5.04  | 300  | 3.6864          |
| 3.7209        | 6.72  | 400  | 3.6310          |
| 3.9395        | 8.4   | 500  | 3.7229          |
| 3.7126        | 10.08 | 600  | 3.6163          |
| 3.6999        | 11.76 | 700  | 3.6776          |
| 3.7203        | 13.45 | 800  | 3.7568          |
| 3.7202        | 15.13 | 900  | 3.6998          |
| 3.7023        | 16.81 | 1000 | 3.6943          |
| 3.689         | 18.49 | 1100 | 3.6501          |
| 3.7009        | 20.17 | 1200 | 3.6973          |
| 3.6882        | 21.85 | 1300 | 3.6938          |
| 3.6907        | 23.53 | 1400 | 3.6795          |
| 3.6869        | 25.21 | 1500 | 3.6727          |
| 3.681         | 26.89 | 1600 | 3.6749          |
| 3.6968        | 28.57 | 1700 | 3.6743          |


### Framework versions

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