Model save
Browse files- README.md +81 -0
- model.safetensors +1 -1
README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-xls-r-1b
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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: xls-r-1b-bemba-genbed-combined
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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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# xls-r-1b-bemba-genbed-combined
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This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.5103
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- Wer: 0.7252
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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: 4
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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: 8
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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: 500
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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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| No log | 0.1375 | 100 | 3.2454 | 1.0 |
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| No log | 0.2749 | 200 | 2.9592 | 1.0 |
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| No log | 0.4124 | 300 | 1.0579 | 1.0633 |
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| No log | 0.5498 | 400 | 0.8291 | 0.9390 |
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| 2.3726 | 0.6873 | 500 | 0.9104 | 0.9572 |
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| 2.3726 | 0.8247 | 600 | 0.7652 | 0.8985 |
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| 2.3726 | 0.9622 | 700 | 0.6910 | 0.8788 |
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| 2.3726 | 1.0997 | 800 | 0.5304 | 0.7518 |
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| 2.3726 | 1.2371 | 900 | 0.5304 | 0.7565 |
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| 0.7002 | 1.3746 | 1000 | 0.5120 | 0.7657 |
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| 0.7002 | 1.5120 | 1100 | 0.4937 | 0.7343 |
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| 0.7002 | 1.6495 | 1200 | 0.4805 | 0.7139 |
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| 0.7002 | 1.7869 | 1300 | 0.4803 | 0.7177 |
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| 0.7002 | 1.9244 | 1400 | 0.4576 | 0.6875 |
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| 0.5954 | 2.0619 | 1500 | 0.4863 | 0.7114 |
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| 0.5954 | 2.1993 | 1600 | 0.5060 | 0.7316 |
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| 0.5954 | 2.3368 | 1700 | 0.5103 | 0.7252 |
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### Framework versions
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- Transformers 4.46.0.dev0
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- Pytorch 2.4.1+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.0
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model.safetensors
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 3850249844
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version https://git-lfs.github.com/spec/v1
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oid sha256:763c323ca67df829422210e0d9db7e3e5c30d8be9e2d5476947da134b5d179b2
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size 3850249844
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