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240626-wav2vec2-ASR_Global

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 ---
-library_name: transformers
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 ---
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 ---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: 240626-wav2vec2-ASR_Global
+  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. -->
+# 240626-wav2vec2-ASR_Global
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4971
+- Wer: 0.0966
+## 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: 5
+- 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    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| No log        | 1.4085  | 100  | 0.5435          | 0.1003 |
+| No log        | 2.8169  | 200  | 0.5230          | 0.1092 |
+| No log        | 4.2254  | 300  | 0.5379          | 0.1105 |
+| No log        | 5.6338  | 400  | 0.5906          | 0.1244 |
+| 0.1133        | 7.0423  | 500  | 0.5424          | 0.1148 |
+| 0.1133        | 8.4507  | 600  | 0.5311          | 0.1318 |
+| 0.1133        | 9.8592  | 700  | 0.5263          | 0.12   |
+| 0.1133        | 11.2676 | 800  | 0.5259          | 0.1123 |
+| 0.1133        | 12.6761 | 900  | 0.5031          | 0.1030 |
+| 0.128         | 14.0845 | 1000 | 0.5482          | 0.1103 |
+| 0.128         | 15.4930 | 1100 | 0.5225          | 0.1038 |
+| 0.128         | 16.9014 | 1200 | 0.4823          | 0.0980 |
+| 0.128         | 18.3099 | 1300 | 0.4971          | 0.0966 |
+| 0.128         | 19.7183 | 1400 | 0.5219          | 0.0982 |
+### Framework versions
+- Transformers 4.41.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.19.2
+- Tokenizers 0.19.1

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