End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base-960h
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vecvanilla
+  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. -->
+
+# wav2vecvanilla
+
+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: 0.8028
+- Wer: 0.3041
+
+## 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: 0.0001
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 1.1729        | 1.69  | 100  | 1.0048          | 0.3681 |
+| 1.0722        | 3.39  | 200  | 0.9117          | 0.3511 |
+| 0.9994        | 5.08  | 300  | 0.9302          | 0.3436 |
+| 0.9576        | 6.78  | 400  | 0.8246          | 0.3320 |
+| 0.9826        | 8.47  | 500  | 0.7846          | 0.3343 |
+| 0.801         | 10.17 | 600  | 0.8600          | 0.3269 |
+| 0.8174        | 11.86 | 700  | 0.7871          | 0.3186 |
+| 0.7162        | 13.56 | 800  | 0.8164          | 0.3186 |
+| 0.7447        | 15.25 | 900  | 0.8965          | 0.3084 |
+| 0.6889        | 16.95 | 1000 | 0.8239          | 0.3057 |
+| 0.6739        | 18.64 | 1100 | 0.8028          | 0.3041 |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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