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
+metrics:
+- accuracy
+model-index:
+- name: Wav2Vec2ForSequenceClassification-finetuned-eos_poc5_ge-di-v7-meeting-v2
+  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. -->
+
+# Wav2Vec2ForSequenceClassification-finetuned-eos_poc5_ge-di-v7-meeting-v2
+
+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: 0.6822
+- Accuracy: 0.6114
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 2.5858        | 0.9748 | 29   | 0.6455          | 0.6517   |
+| 2.5709        | 1.9748 | 58   | 0.6422          | 0.6517   |
+| 2.5285        | 2.9748 | 87   | 0.6421          | 0.6517   |
+| 2.4906        | 3.9748 | 116  | 0.6335          | 0.6540   |
+| 2.437         | 4.9748 | 145  | 0.6330          | 0.6517   |
+| 2.3735        | 5.9748 | 174  | 0.6458          | 0.5972   |
+| 2.1678        | 6.9748 | 203  | 0.6553          | 0.6114   |
+| 2.1317        | 7.9748 | 232  | 0.6734          | 0.5900   |
+| 2.0619        | 8.9748 | 261  | 0.6809          | 0.5806   |
+| 1.9324        | 9.9748 | 290  | 0.6822          | 0.6114   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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