---
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: Wav2vec2_MyST_Train_and_Dev
  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. -->

# Wav2vec2_MyST_Train_and_Dev

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6956
- Wer: 1.0

## 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: 0.0001
- train_batch_size: 12
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Wer |
|:-------------:|:------:|:-----:|:---------------:|:---:|
| 0.8218        | 0.4356 | 1000  | 0.6958          | 1.0 |
| 0.7378        | 0.8713 | 2000  | 0.8468          | 1.0 |
| 0.0           | 1.3067 | 3000  | nan             | 1.0 |
| 0.0           | 1.7423 | 4000  | nan             | 1.0 |
| 0.0           | 2.1777 | 5000  | nan             | 1.0 |
| 0.0           | 2.6134 | 6000  | nan             | 1.0 |
| 0.0           | 3.0488 | 7000  | nan             | 1.0 |
| 0.0           | 3.4844 | 8000  | nan             | 1.0 |
| 0.0           | 3.9201 | 9000  | nan             | 1.0 |
| 0.0           | 4.3555 | 10000 | nan             | 1.0 |
| 0.0           | 4.7911 | 11000 | nan             | 1.0 |
| 0.0           | 5.2265 | 12000 | nan             | 1.0 |
| 0.0           | 5.6622 | 13000 | nan             | 1.0 |
| 0.0           | 6.0976 | 14000 | nan             | 1.0 |
| 0.0           | 6.5332 | 15000 | nan             | 1.0 |
| 0.0           | 6.9689 | 16000 | nan             | 1.0 |
| 0.0           | 7.4043 | 17000 | nan             | 1.0 |
| 0.0           | 7.8399 | 18000 | nan             | 1.0 |
| 0.0           | 8.2753 | 19000 | nan             | 1.0 |
| 0.0           | 8.7110 | 20000 | nan             | 1.0 |
| 0.0           | 9.1464 | 21000 | nan             | 1.0 |
| 0.0           | 9.5820 | 22000 | nan             | 1.0 |


### Framework versions

- Transformers 4.56.2
- Pytorch 2.8.0.dev20250319+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1