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/5zb8oxjs)
+[<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/7nmyuo5a)
 # 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: 1.0353
-- Accuracy: 0.6698
-- F1: 0.6684
-- Recall: 0.6698
-- Precision: 0.6698
+- Loss: 0.9757
+- Accuracy: 0.6348
+- F1: 0.6245
+- Recall: 0.6348
+- Precision: 0.6245
 
 ## Model description
 
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 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    |
+| 1.1709        | 0.9990 | 733  | 1.0958          | 0.5751   | 0.5564 | 0.5751 | 0.5629    |
+| 0.8089        | 1.9993 | 1467 | 0.9757          | 0.6348   | 0.6245 | 0.6348 | 0.6245    |
 
 
 ### Framework versions

model.safetensors

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runs/Aug16_12-04-02_f4106c943ee3/events.out.tfevents.1723809943.f4106c943ee3.34.0

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training_args.bin

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