Model save
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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-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-MCV15
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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-xls-r-300m-MCV15
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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 the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0523
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- Wer: 0.7437
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- Cer: 0.2712
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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: 3e-05
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- train_batch_size: 24
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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: 48
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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_ratio: 0.1
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- num_epochs: 50
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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 | Cer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
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| 12.5819 | 4.5 | 250 | 4.5566 | 1.0 | 1.0000 |
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| 3.4789 | 9.01 | 500 | 3.1356 | 1.0 | 1.0000 |
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| 3.0456 | 13.51 | 750 | 2.9915 | 1.0 | 1.0000 |
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| 2.7595 | 18.02 | 1000 | 2.2266 | 0.9648 | 0.6214 |
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| 1.9067 | 22.52 | 1250 | 1.4719 | 0.8477 | 0.3298 |
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| 1.3924 | 27.03 | 1500 | 1.2345 | 0.8086 | 0.2978 |
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| 1.168 | 31.53 | 1750 | 1.1614 | 0.7843 | 0.2893 |
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| 1.0616 | 36.04 | 2000 | 1.1134 | 0.7690 | 0.2824 |
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| 0.9895 | 40.54 | 2250 | 1.0685 | 0.7489 | 0.2749 |
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| 0.9316 | 45.05 | 2500 | 1.0537 | 0.7451 | 0.2715 |
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| 0.9192 | 49.55 | 2750 | 1.0523 | 0.7437 | 0.2712 |
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### Framework versions
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- Transformers 4.35.2
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- Pytorch 2.1.0+cu121
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- Datasets 2.15.0
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- Tokenizers 0.15.0
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runs/Dec22_09-45-36_3588be1cc145/events.out.tfevents.1703238389.3588be1cc145.499.1
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:a070df96c202b1bdc8376677cb20ebe70683e89e5b1bfca98aecf8784bae7dc0
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size 11812
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