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/tpmsep4l)
+[<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/9xtfi6pe)
 # 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: 1.0650
-- Accuracy: 0.6143
-- F1: 0.6031
-- Recall: 0.6143
-- Precision: 0.6096
+- Loss: 0.9945
+- Accuracy: 0.6685
+- F1: 0.6673
+- Recall: 0.6685
+- Precision: 0.6666
 
 ## Model description
 
@@ -58,8 +58,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 1.1536        | 0.9990 | 733  | 1.3164          | 0.5261   | 0.5101 | 0.5261 | 0.5250    |
-| 0.805         | 1.9993 | 1467 | 1.0650          | 0.6143   | 0.6031 | 0.6143 | 0.6096    |
+| 0.7164        | 0.9990 | 733  | 1.0490          | 0.6416   | 0.6345 | 0.6416 | 0.6392    |
+| 0.5003        | 1.9993 | 1467 | 0.9945          | 0.6685   | 0.6673 | 0.6685 | 0.6666    |
 
 
 ### Framework versions

model.safetensors

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runs/Aug13_08-01-46_2c44304c5e21/events.out.tfevents.1723536108.2c44304c5e21.34.0

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training_args.bin

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