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/nt10409b)
+[<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/jkpfolor)
 # 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: 0.9738
-- Accuracy: 0.6344
-- F1: 0.6234
-- Recall: 0.6344
-- Precision: 0.6261
+- Loss: 0.4582
+- Accuracy: 0.8324
+- F1: 0.8237
+- Recall: 0.8324
+- Precision: 0.8350
 
 ## Model description
 
@@ -51,15 +51,15 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- training_steps: 1467
+- training_steps: 366
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy | F1     | Recall | Precision |
 |:-------------:|:------:|:----:|:---------------:|:--------:|:------:|:------:|:---------:|
-| 1.1804        | 0.9990 | 733  | 1.1261          | 0.5639   | 0.5448 | 0.5639 | 0.5662    |
-| 0.7794        | 1.9993 | 1467 | 0.9738          | 0.6344   | 0.6234 | 0.6344 | 0.6261    |
+| 0.9245        | 0.9973 | 183  | 0.6705          | 0.7448   | 0.7246 | 0.7448 | 0.7586    |
+| 0.7313        | 1.9946 | 366  | 0.4582          | 0.8324   | 0.8237 | 0.8324 | 0.8350    |
 
 
 ### Framework versions

model.safetensors

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