Model save
Browse files- README.md +69 -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: DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7
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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: config-0
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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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# config-0
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This model is a fine-tuned version of [DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7](https://huggingface.co/DrishtiSharma/wav2vec2-large-xls-r-300m-hi-CV7) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.8339
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- Wer: 0.9455
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- Cer: 0.5454
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- Mer: 0.9402
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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: 100
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- num_epochs: 40
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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 | Mer |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|
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| 7.7805 | 1.0050 | 100 | 3.5031 | 1.0 | 1.0 | 1.0 |
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| 3.4127 | 2.0101 | 200 | 3.4317 | 1.0 | 0.9381 | 1.0 |
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| 3.3348 | 3.0151 | 300 | 3.2768 | 0.9999 | 0.9359 | 0.9999 |
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| 2.763 | 4.0201 | 400 | 1.8339 | 0.9455 | 0.5454 | 0.9402 |
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### Framework versions
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- Transformers 4.41.2
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- Pytorch 2.3.0+cu121
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- Datasets 2.20.0
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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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-
oid sha256:
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size 1262242080
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version https://git-lfs.github.com/spec/v1
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size 1262242080
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