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---
license: apache-2.0
base_model: facebook/wav2vec2-large
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_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_mind_model
This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6000
- Accuracy: 0.75
## 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: 3e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log | 1.0 | 1 | 0.7537 | 0.25 |
| No log | 2.0 | 3 | 0.6236 | 0.75 |
| No log | 3.0 | 5 | 0.5948 | 0.75 |
| No log | 4.0 | 6 | 0.5866 | 0.75 |
| No log | 5.0 | 7 | 0.5819 | 0.75 |
| No log | 6.0 | 9 | 0.5987 | 0.75 |
| 0.2651 | 6.67 | 10 | 0.6000 | 0.75 |
### Framework versions
- Transformers 4.36.2
- Pytorch 1.13.0+cu117
- Datasets 2.16.1
- Tokenizers 0.15.0
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