End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-large
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: wav2vec2_large_1.1
+  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_large_1.1
+
+This model is a fine-tuned version of [facebook/wav2vec2-large](https://huggingface.co/facebook/wav2vec2-large) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.1063
+- Wer: 1.0
+- Cer: 0.9997
+
+## 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: 0.001
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:---:|:------:|
+| 3.8007        | 1.12  | 700  | 3.0604          | 1.0 | 0.9997 |
+| 3.3783        | 2.24  | 1400 | 3.2217          | 1.0 | 0.9997 |
+| 3.2938        | 3.36  | 2100 | 3.1471          | 1.0 | 0.9997 |
+| 3.2049        | 4.48  | 2800 | 3.1063          | 1.0 | 0.9997 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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