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update model card README.md

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+ ---
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+ license: apache-2.0
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: psst_batch_size_8_base_model
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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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+ # psst_batch_size_8_base_model
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+
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+ This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 3.6856
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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: 8
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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: 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: 100
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+ - num_epochs: 30
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:----:|:---------------:|
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+ | 13.113 | 3.33 | 100 | 3.6542 |
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+ | 3.9221 | 6.67 | 200 | 3.6851 |
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+ | 3.8468 | 10.0 | 300 | 3.7162 |
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+ | 3.7095 | 13.33 | 400 | 3.6988 |
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+ | 3.6987 | 16.67 | 500 | 3.6870 |
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+ | 3.7247 | 20.0 | 600 | 3.6951 |
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+ | 3.6922 | 23.33 | 700 | 3.6682 |
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+ | 3.6862 | 26.67 | 800 | 3.6812 |
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+ | 3.6838 | 30.0 | 900 | 3.6856 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.0
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+ - Pytorch 2.0.1
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.2