Model save
Browse files- README.md +77 -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-base
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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: w2v2-base-pretrained_lr5e-5_at1_da1
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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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# w2v2-base-pretrained_lr5e-5_at1_da1
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.2991
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- Wer: 0.3016
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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: 32
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- eval_batch_size: 8
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- seed: 42
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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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- training_steps: 4000
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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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| 17.3296 | 6.1 | 250 | 8.4283 | 1.0 |
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| 4.6394 | 12.2 | 500 | 7.5283 | 1.0 |
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| 3.4235 | 18.29 | 750 | 5.8716 | 1.0 |
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| 3.3011 | 24.39 | 1000 | 4.9842 | 1.0 |
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| 3.048 | 30.49 | 1250 | 3.1389 | 1.0077 |
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| 2.1291 | 36.59 | 1500 | 2.0209 | 0.9257 |
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| 0.5553 | 42.68 | 1750 | 1.5785 | 0.4742 |
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| 0.2117 | 48.78 | 2000 | 1.7978 | 0.3631 |
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| 0.1228 | 54.88 | 2250 | 1.8723 | 0.3323 |
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| 0.0771 | 60.98 | 2500 | 2.0055 | 0.3234 |
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| 0.0587 | 67.07 | 2750 | 2.0493 | 0.3157 |
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| 0.0398 | 73.17 | 3000 | 2.0708 | 0.3084 |
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| 0.0336 | 79.27 | 3250 | 2.2532 | 0.3148 |
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| 0.0271 | 85.37 | 3500 | 2.2694 | 0.3016 |
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| 0.0234 | 91.46 | 3750 | 2.3538 | 0.3050 |
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| 0.0213 | 97.56 | 4000 | 2.2991 | 0.3016 |
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.0
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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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 377629528
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version https://git-lfs.github.com/spec/v1
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oid sha256:99de6adc1ed23f8e7a96973bc50511a1cf7b9e8a5bb11d8cde688f5f4fcb8ca9
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size 377629528
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