Model save
Browse files- README.md +82 -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-bem-genbed-all
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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-bem-genbed-all
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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: 0.2316
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- Wer: 0.7116
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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: 5e-05
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- train_batch_size: 4
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- eval_batch_size: 4
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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: 5.0
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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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| 4.6827 | 0.2644 | 200 | 2.8347 | 1.0 |
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| 1.0401 | 0.5288 | 400 | 0.5636 | 0.9410 |
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| 0.4289 | 0.7931 | 600 | 0.4018 | 0.9029 |
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| 0.3449 | 1.0575 | 800 | 0.3604 | 0.8771 |
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| 0.2954 | 1.3219 | 1000 | 0.3389 | 0.8741 |
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| 0.2719 | 1.5863 | 1200 | 0.2962 | 0.8439 |
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| 0.2472 | 1.8506 | 1400 | 0.2701 | 0.8053 |
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| 0.2093 | 2.1150 | 1600 | 0.2599 | 0.8285 |
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| 0.1725 | 2.3794 | 1800 | 0.2534 | 0.8375 |
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| 0.1675 | 2.6438 | 2000 | 0.2406 | 0.7691 |
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| 0.1632 | 2.9081 | 2200 | 0.2309 | 0.7616 |
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| 0.1295 | 3.1725 | 2400 | 0.2387 | 0.7557 |
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| 0.1082 | 3.4369 | 2600 | 0.2275 | 0.7329 |
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| 0.1059 | 3.7013 | 2800 | 0.2240 | 0.7329 |
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| 0.1049 | 3.9656 | 3000 | 0.2172 | 0.7294 |
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| 0.0657 | 4.2300 | 3200 | 0.2320 | 0.7220 |
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| 0.059 | 4.4944 | 3400 | 0.2341 | 0.7215 |
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| 0.0582 | 4.7588 | 3600 | 0.2316 | 0.7116 |
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### Framework versions
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- Transformers 4.45.0.dev0
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- Pytorch 2.4.0+cu121
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- Datasets 2.21.0
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- Tokenizers 0.19.1
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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 3850244620
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version https://git-lfs.github.com/spec/v1
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oid sha256:ac5d7c088bd5a3da10416d32d85db5f7c8431e48ef4df9264ab5806f5d39b88d
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size 3850244620
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