End of training

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: facebook/wav2vec2-base-960h
 tags:
 - generated_from_trainer
+metrics:
+- wer
 model-index:
 - name: Wav2vec2_MyST_Train_and_Dev
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # Wav2vec2_MyST_Train_and_Dev
 
 This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6956
+- Wer: 1.0
 
 ## Model description
 
@@ -33,25 +38,48 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0003
-- train_batch_size: 8
+- learning_rate: 0.0001
+- train_batch_size: 12
 - eval_batch_size: 8
 - seed: 42
 - gradient_accumulation_steps: 2
-- total_train_batch_size: 16
-- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- total_train_batch_size: 24
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 500
 - num_epochs: 10
-- mixed_precision_training: Native AMP
 
 ### Training results
 
+| Training Loss | Epoch  | Step  | Validation Loss | Wer |
+|:-------------:|:------:|:-----:|:---------------:|:---:|
+| 0.8218        | 0.4356 | 1000  | 0.6958          | 1.0 |
+| 0.7378        | 0.8713 | 2000  | 0.8468          | 1.0 |
+| 0.0           | 1.3067 | 3000  | nan             | 1.0 |
+| 0.0           | 1.7423 | 4000  | nan             | 1.0 |
+| 0.0           | 2.1777 | 5000  | nan             | 1.0 |
+| 0.0           | 2.6134 | 6000  | nan             | 1.0 |
+| 0.0           | 3.0488 | 7000  | nan             | 1.0 |
+| 0.0           | 3.4844 | 8000  | nan             | 1.0 |
+| 0.0           | 3.9201 | 9000  | nan             | 1.0 |
+| 0.0           | 4.3555 | 10000 | nan             | 1.0 |
+| 0.0           | 4.7911 | 11000 | nan             | 1.0 |
+| 0.0           | 5.2265 | 12000 | nan             | 1.0 |
+| 0.0           | 5.6622 | 13000 | nan             | 1.0 |
+| 0.0           | 6.0976 | 14000 | nan             | 1.0 |
+| 0.0           | 6.5332 | 15000 | nan             | 1.0 |
+| 0.0           | 6.9689 | 16000 | nan             | 1.0 |
+| 0.0           | 7.4043 | 17000 | nan             | 1.0 |
+| 0.0           | 7.8399 | 18000 | nan             | 1.0 |
+| 0.0           | 8.2753 | 19000 | nan             | 1.0 |
+| 0.0           | 8.7110 | 20000 | nan             | 1.0 |
+| 0.0           | 9.1464 | 21000 | nan             | 1.0 |
+| 0.0           | 9.5820 | 22000 | nan             | 1.0 |
 
 
 ### Framework versions
 
 - Transformers 4.56.2
-- Pytorch 2.3.1+cu121
+- Pytorch 2.8.0.dev20250319+cu128
 - Datasets 4.1.1
 - Tokenizers 0.22.1

model.safetensors

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training_args.bin

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