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README.md
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---
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license: apache-2.0
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base_model: facebook/wav2vec2-large-xlsr-53
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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-xlsr-53-ft-btb-ccv-cy
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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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# wav2vec2-xlsr-53-ft-btb-ccv-cy
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This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4198
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- Wer: 0.3249
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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: 16
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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: 32
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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: 2600
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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 | 0.1046 | 100 | 3.5059 | 1.0 |
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| No log | 0.2092 | 200 | 3.2687 | 1.0 |
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| No log | 0.3138 | 300 | 2.7369 | 1.0 |
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| No log | 0.4184 | 400 | 1.3039 | 0.8545 |
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| 3.5426 | 0.5230 | 500 | 1.0518 | 0.7738 |
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| 3.5426 | 0.6276 | 600 | 0.8396 | 0.6149 |
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| 3.5426 | 0.7322 | 700 | 0.7548 | 0.5687 |
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| 3.5426 | 0.8368 | 800 | 0.6869 | 0.5185 |
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| 3.5426 | 0.9414 | 900 | 0.6501 | 0.4895 |
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| 0.7785 | 1.0460 | 1000 | 0.5817 | 0.4501 |
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| 0.7785 | 1.1506 | 1100 | 0.5647 | 0.4288 |
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| 0.7785 | 1.2552 | 1200 | 0.5424 | 0.4279 |
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| 0.7785 | 1.3598 | 1300 | 0.5264 | 0.4051 |
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| 0.7785 | 1.4644 | 1400 | 0.5099 | 0.3977 |
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| 0.5795 | 1.5690 | 1500 | 0.5058 | 0.3953 |
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| 0.5795 | 1.6736 | 1600 | 0.4804 | 0.3789 |
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| 0.5795 | 1.7782 | 1700 | 0.4672 | 0.3698 |
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| 0.5795 | 1.8828 | 1800 | 0.4605 | 0.3712 |
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| 0.5795 | 1.9874 | 1900 | 0.4491 | 0.3556 |
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| 0.5057 | 2.0921 | 2000 | 0.4494 | 0.3453 |
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| 0.5057 | 2.1967 | 2100 | 0.4432 | 0.3397 |
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| 0.5057 | 2.3013 | 2200 | 0.4378 | 0.3351 |
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| 0.5057 | 2.4059 | 2300 | 0.4291 | 0.3310 |
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| 0.5057 | 2.5105 | 2400 | 0.4279 | 0.3294 |
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| 0.3986 | 2.6151 | 2500 | 0.4234 | 0.3259 |
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| 0.3986 | 2.7197 | 2600 | 0.4198 | 0.3249 |
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### Framework versions
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- Transformers 4.40.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.19.1
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- Tokenizers 0.19.1
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1261991980
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size 1261991980
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runs/May23_14-31-09_7571a1a6d5fc/events.out.tfevents.1716471364.7571a1a6d5fc.291.0
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size
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size 16108
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