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End of training

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  2. pytorch_model.bin +1 -1
README.md ADDED
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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-in-hindi
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+ results: []
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+ ---
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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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+
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+ # wav2vec2-in-hindi
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+
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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: 0.6122
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+ - Wer: 1.0343
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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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: 50
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+ - num_epochs: 40
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Wer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 6.586 | 3.17 | 100 | 3.4128 | 1.0 |
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+ | 3.4004 | 6.35 | 200 | 3.3716 | 1.0 |
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+ | 3.3097 | 9.52 | 300 | 3.0612 | 1.0 |
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+ | 1.903 | 12.7 | 400 | 0.8674 | 1.0476 |
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+ | 0.636 | 15.87 | 500 | 0.6154 | 1.0383 |
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+ | 0.3542 | 19.05 | 600 | 0.6023 | 1.0283 |
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+ | 0.2611 | 22.22 | 700 | 0.6086 | 1.0283 |
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+ | 0.2123 | 25.4 | 800 | 0.6135 | 1.0296 |
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+ | 0.1729 | 28.57 | 900 | 0.6221 | 1.0231 |
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+ | 0.1543 | 31.75 | 1000 | 0.6063 | 1.0356 |
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+ | 0.1386 | 34.92 | 1100 | 0.6090 | 1.0258 |
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+ | 0.1248 | 38.1 | 1200 | 0.6122 | 1.0343 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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+ - Pytorch 2.0.0
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+ - Datasets 2.1.0
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+ - Tokenizers 0.13.3
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