End of training

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- recall
+- precision
+model-index:
+- name: mixed_model_finetuned_ravdess
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/yassmenyoussef55-arete-global/huggingface/runs/fbii58qd)
+# mixed_model_finetuned_ravdess
+
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2728
+- Accuracy: 0.9271
+- F1: 0.9267
+- Recall: 0.9271
+- Precision: 0.9292
+
+## 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: 0.0001
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- training_steps: 144
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
+| 1.8272        | 1.0   | 36   | 1.3361          | 0.5312   | 0.4687 | 0.5312 | 0.5125    |
+| 1.0357        | 2.0   | 72   | 0.7544          | 0.7674   | 0.7490 | 0.7674 | 0.8045    |
+| 0.5699        | 3.0   | 108  | 0.3596          | 0.9097   | 0.9094 | 0.9097 | 0.9149    |
+| 0.3445        | 4.0   | 144  | 0.2728          | 0.9271   | 0.9267 | 0.9271 | 0.9292    |
+
+
+### Framework versions
+
+- Transformers 4.42.3
+- Pytorch 2.1.2
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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runs/Jul29_05-30-27_863fd297c3f5/events.out.tfevents.1722231032.863fd297c3f5.80.0

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training_args.bin

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