End of training

README.md

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+---
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2-base-finetuned-ic-slurp-wt_init-frz-v1
+  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-base-finetuned-ic-slurp-wt_init-frz-v1
+
+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: 4.0306
+- Accuracy: 0.0502
+
+## 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: 24
+- eval_batch_size: 24
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 96
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 50
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 3.9426        | 1.0   | 527  | 4.1870          | 0.0420   |
+| 3.7966        | 2.0   | 1055 | 4.0306          | 0.0502   |
+| 3.7149        | 3.0   | 1582 | 3.9582          | 0.0434   |
+| 3.6478        | 4.0   | 2110 | 3.9343          | 0.0427   |
+| 3.5037        | 5.0   | 2637 | 3.9302          | 0.0413   |
+| 3.4649        | 6.0   | 3165 | 3.9289          | 0.0474   |
+| 3.2427        | 7.0   | 3692 | 3.9650          | 0.0473   |
+
+
+### Framework versions
+
+- Transformers 4.36.2
+- Pytorch 2.2.1+cu118
+- Datasets 2.17.0
+- Tokenizers 0.15.0

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