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---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: my_awesome_asr_mind_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. -->
# my_awesome_asr_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.1710
- 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: 1e-05
- 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: 2
- training_steps: 50
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 58.3347 | 1.0 | 5 | 30.3906 | 1.2065 |
| 49.6382 | 2.0 | 10 | 30.3906 | 1.2065 |
| 47.2021 | 3.0 | 15 | 26.6334 | 1.0109 |
| 28.9906 | 4.0 | 20 | 22.2268 | 1.0 |
| 28.247 | 5.0 | 25 | 18.9242 | 1.0 |
| 27.9882 | 6.0 | 30 | 15.4867 | 1.0 |
| 22.125 | 7.0 | 35 | 12.5733 | 1.0 |
| 18.5329 | 8.0 | 40 | 10.6346 | 1.0 |
| 14.7859 | 9.0 | 45 | 9.1798 | 1.0 |
| 14.7127 | 10.0 | 50 | 8.1710 | 1.0 |
### Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.5
- Tokenizers 0.14.1
|