End of training

README.md

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----
-license: apache-2.0
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: model_dialect
+  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. -->
+
+# model_dialect
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.8947
+- Accuracy: 0.6975
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 15
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
+|:-------------:|:-------:|:----:|:---------------:|:--------:|
+| 6.4185        | 0.9455  | 13   | 1.5833          | 0.2979   |
+| 6.3212        | 1.9636  | 27   | 1.5130          | 0.3118   |
+| 5.7314        | 2.9818  | 41   | 1.3549          | 0.4711   |
+| 5.3036        | 4.0     | 55   | 1.2348          | 0.5150   |
+| 4.9932        | 4.9455  | 68   | 1.1989          | 0.5058   |
+| 4.5875        | 5.9636  | 82   | 1.1178          | 0.5704   |
+| 4.327         | 6.9818  | 96   | 1.0420          | 0.6443   |
+| 3.9131        | 8.0     | 110  | 1.0319          | 0.6282   |
+| 3.7915        | 8.9455  | 123  | 0.9752          | 0.6744   |
+| 3.6121        | 9.9636  | 137  | 0.9379          | 0.6651   |
+| 3.4393        | 10.9818 | 151  | 0.9254          | 0.6928   |
+| 3.2218        | 12.0    | 165  | 0.9149          | 0.6767   |
+| 3.1582        | 12.9455 | 178  | 0.9063          | 0.6952   |
+| 2.9563        | 13.9636 | 192  | 0.8947          | 0.6975   |
+| 2.9563        | 14.1818 | 195  | 0.8946          | 0.6975   |
+
+
+### Framework versions
+
+- Transformers 4.46.0
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

runs/Oct25_06-17-56_dfdde24d29d9/events.out.tfevents.1729837088.dfdde24d29d9.30.0

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