End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- minds14
+metrics:
+- wer
+model-index:
+- name: wav2vec2-minds14-en
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: minds14
+      type: minds14
+      config: en-US
+      split: None
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 1.0
+---
+
+<!-- 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-minds14-en
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the minds14 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 5.5729
+- Wer: 1.0
+
+## 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: 1e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step | Validation Loss | Wer    |
+|:-------------:|:-------:|:----:|:---------------:|:------:|
+| 5.3811        | 3.5088  | 100  | 6.8598          | 1.0006 |
+| 4.9442        | 7.0175  | 200  | 6.6217          | 1.0018 |
+| 4.6255        | 10.5263 | 300  | 6.2050          | 1.0    |
+| 4.4037        | 14.0351 | 400  | 6.1160          | 1.0    |
+| 4.1672        | 17.5439 | 500  | 5.7863          | 1.0    |
+| 3.8786        | 21.0526 | 600  | 5.6219          | 1.0    |
+| 3.6182        | 24.5614 | 700  | 5.4987          | 1.0    |
+| 3.654         | 28.0702 | 800  | 5.6024          | 1.0    |
+| 3.4135        | 31.5789 | 900  | 5.5648          | 1.0    |
+| 3.3532        | 35.0877 | 1000 | 5.6507          | 1.0    |
+| 3.344         | 38.5965 | 1100 | 5.5189          | 1.0    |
+| 3.3233        | 42.1053 | 1200 | 5.6830          | 1.0    |
+| 3.3983        | 45.6140 | 1300 | 5.5447          | 1.0    |
+| 3.2433        | 49.1228 | 1400 | 5.5065          | 1.0    |
+| 3.2082        | 52.6316 | 1500 | 5.4783          | 1.0    |
+| 3.1958        | 56.1404 | 1600 | 5.5747          | 1.0    |
+| 3.1756        | 59.6491 | 1700 | 5.5580          | 1.0    |
+| 3.1757        | 63.1579 | 1800 | 5.5556          | 1.0    |
+| 3.1758        | 66.6667 | 1900 | 5.6747          | 1.0    |
+| 3.1373        | 70.1754 | 2000 | 5.5729          | 1.0    |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.5.0+cu121
+- Datasets 3.1.0
+- Tokenizers 0.19.1

model.safetensors

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