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---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- generated_from_trainer
metrics:
- wer
model-index:
- name: model_sh_intit_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. -->
# model_sh_intit_model
This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co./facebook/wav2vec2-base-960h) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4880
- Wer: 0.3617
- Cer: 0.9396
## 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: 100
- training_steps: 1000
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
| 0.9874 | 20.0 | 100 | 1.6657 | 0.5234 | 0.9457 |
| 0.5576 | 40.0 | 200 | 1.0859 | 0.4426 | 0.9422 |
| 0.399 | 60.0 | 300 | 1.2627 | 0.3957 | 0.9406 |
| 0.2509 | 80.0 | 400 | 1.3391 | 0.3830 | 0.9405 |
| 0.2643 | 100.0 | 500 | 1.4182 | 0.3787 | 0.9401 |
| 0.1931 | 120.0 | 600 | 1.3800 | 0.3915 | 0.9403 |
| 0.1553 | 140.0 | 700 | 1.4751 | 0.3957 | 0.9402 |
| 0.1679 | 160.0 | 800 | 1.4633 | 0.3660 | 0.9397 |
| 0.1642 | 180.0 | 900 | 1.5003 | 0.3617 | 0.9397 |
| 0.1286 | 200.0 | 1000 | 1.4880 | 0.3617 | 0.9396 |
### Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
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