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End of training

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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-v7-blanced
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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-v7-blanced
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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: 0.9969
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+ - Accuracy: 0.5989
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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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+ | 0.6719 | 1.0 | 452 | 0.6673 | 0.5945 |
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+ | 0.673 | 2.0 | 904 | 0.6624 | 0.5964 |
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+ | 0.6596 | 3.0 | 1356 | 0.6597 | 0.6124 |
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+ | 0.5873 | 4.0 | 1808 | 0.6846 | 0.6071 |
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+ | 0.5624 | 5.0 | 2260 | 0.7225 | 0.6143 |
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+ | 0.5454 | 6.0 | 2712 | 0.7425 | 0.6062 |
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+ | 0.4816 | 7.0 | 3164 | 0.8115 | 0.6018 |
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+ | 0.3987 | 8.0 | 3616 | 0.8764 | 0.6008 |
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+ | 0.3613 | 9.0 | 4068 | 0.9408 | 0.5958 |
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+ | 0.2902 | 10.0 | 4520 | 0.9969 | 0.5989 |
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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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