End of training

README.md

@@ -13,12 +13,13 @@ 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/4ct0uvmj)
 # test-model
 
-This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+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: 0.6441
-- Accuracy: 0.8966
+- Loss: 0.2059
+- Accuracy: 0.9457
 
 ## Model description
 
@@ -37,9 +38,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 3e-05
+- learning_rate: 5e-05
 - train_batch_size: 16
-- eval_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 64
@@ -53,21 +54,21 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| No log        | 0.9231 | 3    | 1.0856          | 0.5517   |
-| No log        | 1.8462 | 6    | 1.0685          | 0.7586   |
-| No log        | 2.7692 | 9    | 0.9550          | 0.7931   |
-| No log        | 4.0    | 13   | 0.8194          | 0.7931   |
-| No log        | 4.9231 | 16   | 0.7648          | 0.7931   |
-| No log        | 5.8462 | 19   | 0.7405          | 0.7931   |
-| No log        | 6.7692 | 22   | 0.6911          | 0.7931   |
-| No log        | 8.0    | 26   | 0.6441          | 0.8966   |
-| No log        | 8.9231 | 29   | 0.6226          | 0.8966   |
-| No log        | 9.2308 | 30   | 0.6165          | 0.8966   |
+| No log        | 0.9960 | 62   | 0.6309          | 0.7787   |
+| 0.8343        | 1.9920 | 124  | 0.3887          | 0.9095   |
+| 0.8343        | 2.9880 | 186  | 0.3262          | 0.9175   |
+| 0.3639        | 4.0    | 249  | 0.3631          | 0.9014   |
+| 0.2568        | 4.9960 | 311  | 0.2309          | 0.9336   |
+| 0.2568        | 5.9920 | 373  | 0.2137          | 0.9457   |
+| 0.1835        | 6.9880 | 435  | 0.1944          | 0.9557   |
+| 0.1835        | 8.0    | 498  | 0.2106          | 0.9477   |
+| 0.1596        | 8.9960 | 560  | 0.2015          | 0.9477   |
+| 0.1216        | 9.9598 | 620  | 0.2059          | 0.9457   |
 
 
 ### Framework versions
 
-- Transformers 4.41.2
-- Pytorch 2.3.0+cu121
+- Transformers 4.42.3
+- Pytorch 2.1.2
 - Datasets 2.20.0
 - Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:289ab5d480636ac2ff7f8dc1295f244fc6363492ca3c444b00fbf5a4bddd5089
+oid sha256:ffe6401725df6f2fd3322e3a89753bfd14a955e8389310eadb80d397e7d4ec1c
 size 378303396