Model save
Browse files- README.md +69 -0
- model.safetensors +1 -1
README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-300m
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tags:
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- generated_from_trainer
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metrics:
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- wer
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model-index:
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- name: wav2vec2-xls-r-300m-fula
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/abdouaziz/STT-FULFULDE/runs/779i64wa)
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# wav2vec2-xls-r-300m-fula
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5844
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- Wer: 1.0065
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0003
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- train_batch_size: 12
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 24
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 2000
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- num_epochs: 30.0
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:------:|:-----:|:---------------:|:------:|
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| 0.4752 | 1.0309 | 2000 | 0.5954 | 1.0 |
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| 0.3858 | 2.0619 | 4000 | 0.4631 | 1.0057 |
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| 0.3571 | 3.0928 | 6000 | 0.4864 | 1.0073 |
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| 0.2857 | 4.1237 | 8000 | 0.4647 | 1.0008 |
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| 0.2628 | 5.1546 | 10000 | 0.5844 | 1.0065 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
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-
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version https://git-lfs.github.com/spec/v1
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size 1262053480
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