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End of training

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  2. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: apache-2.0
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+ base_model: facebook/wav2vec2-base
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: wav2vec2-base-finetuned-eos_poc5_ge-di-v6
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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-base-finetuned-eos_poc5_ge-di-v6
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.7719
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+ - Accuracy: 0.7027
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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: 3e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 64
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+ - seed: 42
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+ - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_ratio: 0.1
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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 | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 0.4983 | 1.0 | 969 | 0.5273 | 0.7689 |
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+ | 0.5294 | 2.0 | 1938 | 0.5109 | 0.7689 |
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+ | 0.4616 | 3.0 | 2907 | 0.5272 | 0.7689 |
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+ | 0.4737 | 4.0 | 3876 | 0.5198 | 0.7574 |
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+ | 0.4532 | 5.0 | 4845 | 0.5339 | 0.7380 |
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+ | 0.427 | 6.0 | 5814 | 0.5641 | 0.7256 |
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+ | 0.3511 | 7.0 | 6783 | 0.6205 | 0.7383 |
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+ | 0.3435 | 8.0 | 7752 | 0.6753 | 0.7104 |
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+ | 0.3003 | 9.0 | 8721 | 0.7102 | 0.7226 |
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+ | 0.251 | 10.0 | 9690 | 0.7719 | 0.7027 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.47.1
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+ - Pytorch 2.5.1+cu121
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
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