End of training

README.md

@@ -13,13 +13,28 @@ 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/khackho01125-CMC-University/huggingface/runs/uevadqgw)
+[<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/khackho01125-CMC-University/huggingface/runs/v98t7due)
+[<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/khackho01125-CMC-University/huggingface/runs/v98t7due)
 # test-model
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3656
-- Accuracy: 0.9038
+- Loss: 0.3880
+- Accuracy: 0.8994
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
 
 ### Training hyperparameters
 
@@ -33,23 +48,23 @@ 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: 0.3
-- num_epochs: 10
+- training_steps: 600
 - mixed_precision_training: Native AMP
 
 ### Training results
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.0555        | 0.9960 | 62   | 0.9601          | 0.5795   |
-| 0.8862        | 1.9920 | 124  | 0.8064          | 0.6881   |
-| 0.7331        | 2.9880 | 186  | 0.6387          | 0.7706   |
-| 0.634         | 4.0    | 249  | 0.5984          | 0.7867   |
-| 0.5403        | 4.9960 | 311  | 0.5577          | 0.7928   |
-| 0.463         | 5.9920 | 373  | 0.4162          | 0.8753   |
-| 0.4081        | 6.9880 | 435  | 0.5255          | 0.8390   |
-| 0.3855        | 8.0    | 498  | 0.3541          | 0.9014   |
-| 0.3287        | 8.9960 | 560  | 0.3403          | 0.9095   |
-| 0.3116        | 9.9598 | 620  | 0.3389          | 0.9034   |
+| 1.0477        | 0.9639 | 60   | 0.9638          | 0.5412   |
+| 0.9116        | 1.9277 | 120  | 0.7981          | 0.7123   |
+| 0.76          | 2.8916 | 180  | 0.6920          | 0.7425   |
+| 0.6584        | 3.8554 | 240  | 0.5988          | 0.7666   |
+| 0.5391        | 4.8193 | 300  | 0.5216          | 0.8471   |
+| 0.463         | 5.7831 | 360  | 0.4832          | 0.8551   |
+| 0.3977        | 6.7470 | 420  | 0.4274          | 0.8833   |
+| 0.3647        | 7.7108 | 480  | 0.4347          | 0.8753   |
+| 0.33          | 8.6747 | 540  | 0.3900          | 0.8833   |
+| 0.318         | 9.6386 | 600  | 0.3880          | 0.8994   |
 
 
 ### Framework versions