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---
base_model: facebook/wav2vec2-base
library_name: transformers
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: Cafe_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. -->
# Cafe_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: 1.2158
- Accuracy: 0.4643
## 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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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 | 0.8571 | 3 | 1.3714 | 0.3095 |
| No log | 2.0 | 7 | 1.3197 | 0.3929 |
| 1.3442 | 2.8571 | 10 | 1.2993 | 0.3571 |
| 1.3442 | 4.0 | 14 | 1.2720 | 0.4881 |
| 1.3442 | 4.8571 | 17 | 1.2573 | 0.4881 |
| 1.2315 | 6.0 | 21 | 1.2405 | 0.4405 |
| 1.2315 | 6.8571 | 24 | 1.2327 | 0.4167 |
| 1.2315 | 8.0 | 28 | 1.2189 | 0.4762 |
| 1.1119 | 8.5714 | 30 | 1.2158 | 0.4643 |
### Framework versions
- Transformers 4.44.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.19.1
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