End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-960h-finetuned-ks
+  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. -->
+
+# wav2vec2-base-960h-finetuned-ks
+
+This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.6449
+- Accuracy: 0.1069
+
+## 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: 5e-05
+- train_batch_size: 128
+- eval_batch_size: 128
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 1024
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.2
+- lr_scheduler_warmup_steps: 10
+- training_steps: 30
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 1    | 2.6379          | 0.0840   |
+| 1.3193        | 2.0   | 3    | 2.6377          | 0.0840   |
+| 1.1536        | 3.0   | 4    | 2.6374          | 0.0763   |
+| 0.8255        | 4.0   | 6    | 2.6377          | 0.0763   |
+| 0.8247        | 5.0   | 8    | 2.6390          | 0.0763   |
+| 0.8247        | 6.0   | 9    | 2.6387          | 0.0840   |
+| 1.1536        | 7.0   | 11   | 2.6415          | 0.0992   |
+| 1.3183        | 8.0   | 12   | 2.6408          | 0.0916   |
+| 1.3183        | 9.0   | 13   | 2.6402          | 0.0992   |
+| 1.3176        | 10.0  | 15   | 2.6414          | 0.0992   |
+| 1.1517        | 11.0  | 16   | 2.6419          | 0.0992   |
+| 0.823         | 12.0  | 18   | 2.6426          | 0.0992   |
+| 0.8222        | 13.0  | 20   | 2.6449          | 0.1069   |
+| 0.8222        | 14.0  | 21   | 2.6467          | 0.0992   |
+| 1.1534        | 15.0  | 23   | 2.6469          | 0.0916   |
+| 1.3186        | 16.0  | 24   | 2.6464          | 0.0840   |
+| 1.3186        | 17.0  | 25   | 2.6460          | 0.0840   |
+| 1.3143        | 18.0  | 27   | 2.6454          | 0.0916   |
+| 1.1482        | 19.0  | 28   | 2.6450          | 0.0840   |
+| 0.8229        | 20.0  | 30   | 2.6450          | 0.0840   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.15.0
+- Tokenizers 0.15.0

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