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End of training

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README.md ADDED
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+ ---
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+ base_model: ylacombe/w2v-bert-2.0
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - common_voice_16_0
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+ model-index:
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+ - name: w2v-bert-2.0-japanese-colab-CV16.0
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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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+ # w2v-bert-2.0-japanese-colab-CV16.0
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+
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+ This model is a fine-tuned version of [ylacombe/w2v-bert-2.0](https://huggingface.co/ylacombe/w2v-bert-2.0) on the common_voice_16_0 dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: inf
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+ - Cer: 0.3171
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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: 5e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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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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+ - num_epochs: 10
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Cer |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 4.2694 | 0.96 | 300 | inf | 0.6823 |
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+ | 2.0595 | 1.93 | 600 | inf | 0.4528 |
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+ | 1.3044 | 2.89 | 900 | inf | 0.3920 |
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+ | 1.0889 | 3.85 | 1200 | inf | 0.3579 |
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+ | 0.7867 | 4.82 | 1500 | inf | 0.3518 |
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+ | 0.4371 | 5.78 | 1800 | inf | 0.3371 |
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+ | 0.3414 | 6.74 | 2100 | inf | 0.3246 |
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+ | 0.2373 | 7.7 | 2400 | inf | 0.3253 |
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+ | 0.1171 | 8.67 | 2700 | inf | 0.3183 |
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+ | 0.0524 | 9.63 | 3000 | inf | 0.3171 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.0.dev0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.16.1
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+ - Tokenizers 0.15.1
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