End of training

README.md

@@ -14,16 +14,16 @@ model-index:
 <!-- 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/5jnjsn3u)
+[<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/5zb8oxjs)
 # mixed_model_finetuned_iemocap
 
 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: 1.0549
-- Accuracy: 0.6037
-- F1: 0.5947
-- Recall: 0.6037
-- Precision: 0.5990
+- Loss: 1.0353
+- Accuracy: 0.6698
+- F1: 0.6684
+- Recall: 0.6698
+- Precision: 0.6698
 
 ## Model description
 
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 1.1345        | 0.9990 | 733  | 1.1133          | 0.5612   | 0.5438 | 0.5612 | 0.5678    |
-| 0.7899        | 1.9993 | 1467 | 1.0549          | 0.6037   | 0.5947 | 0.6037 | 0.5990    |
+| 0.6931        | 0.9990 | 733  | 1.0888          | 0.6245   | 0.6155 | 0.6245 | 0.6251    |
+| 0.5596        | 1.9993 | 1467 | 1.0353          | 0.6698   | 0.6684 | 0.6698 | 0.6698    |
 
 
 ### Framework versions

model.safetensors

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runs/Aug14_09-18-35_9205a3a406fe/events.out.tfevents.1723627115.9205a3a406fe.34.0

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training_args.bin

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