End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.6597
-- Accuracy: 0.7778
+- Loss: 1.8226
+- Accuracy: 0.4667
 
 ## Model description
 
@@ -44,7 +44,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 8
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
 - num_epochs: 2
@@ -53,13 +53,13 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch  | Step | Validation Loss | Accuracy |
 |:-------------:|:------:|:----:|:---------------:|:--------:|
-| 1.8564        | 0.9778 | 22   | 1.8123          | 0.6      |
-| 1.6587        | 1.9556 | 44   | 1.6597          | 0.7778   |
+| 2.0362        | 0.9778 | 22   | 1.9392          | 0.4444   |
+| 1.8016        | 1.9556 | 44   | 1.8226          | 0.4667   |
 
 
 ### Framework versions
 
-- Transformers 4.46.2
-- Pytorch 2.5.1+cu121
+- Transformers 4.46.3
+- Pytorch 2.5.1+cu124
 - Datasets 3.1.0
 - Tokenizers 0.20.3

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:1cc9483f81f7d4cebce65f2d92bd71bc460de884e675c3af5a76365b8f02f550
 size 378310592