Model save

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-large
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: my_awesome_mind_model
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# my_awesome_mind_model
+
+This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6000
+- Accuracy: 0.75
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 3e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 0.7537          | 0.25     |
+| No log        | 2.0   | 3    | 0.6236          | 0.75     |
+| No log        | 3.0   | 5    | 0.5948          | 0.75     |
+| No log        | 4.0   | 6    | 0.5866          | 0.75     |
+| No log        | 5.0   | 7    | 0.5819          | 0.75     |
+| No log        | 6.0   | 9    | 0.5987          | 0.75     |
+| 0.2651        | 6.67  | 10   | 0.6000          | 0.75     |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 1.13.0+cu117
+- Datasets 2.16.1
+- Tokenizers 0.15.0

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