---
base_model: ''
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: wav2BertMusicfreezeTest
  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. -->

# wav2BertMusicfreezeTest

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 6.6761
- Rouge1: 16.6206
- Rouge2: 0.9994
- Rougel: 16.1142
- Rougelsum: 16.1149
- Gen Len: 95.3

## 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: 1e-06
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 7.7819        | 1.0   | 1361 | 7.0617          | 15.5901 | 0.9705 | 15.3625 | 15.389    | 97.98   |
| 6.8553        | 2.0   | 2722 | 6.6761          | 16.6206 | 0.9994 | 16.1142 | 16.1149   | 95.3    |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu117
- Datasets 2.14.2
- Tokenizers 0.13.3