End of training

README.md

@@ -25,7 +25,7 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 72.18080149114631
+      value: 40.8272994479891
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -35,8 +35,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Romanian voice 1.0 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2682
-- Wer: 72.1808
+- Loss: 0.2790
+- Wer: 40.8273
 
 ## Model description
 
@@ -55,12 +55,10 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 8
-- eval_batch_size: 8
+- learning_rate: 5e-06
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
-- gradient_accumulation_steps: 2
-- total_train_batch_size: 16
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: constant_with_warmup
 - lr_scheduler_warmup_steps: 50
@@ -70,10 +68,10 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Wer     |
 |:-------------:|:-----:|:----:|:---------------:|:-------:|
-| 0.0756        | 1.8   | 1000 | 0.2180          | 21.3707 |
-| 0.0283        | 3.6   | 2000 | 0.2313          | 58.4235 |
-| 0.0111        | 5.4   | 3000 | 0.2592          | 41.9923 |
-| 0.0066        | 7.19  | 4000 | 0.2682          | 72.1808 |
+| 0.0198        | 1.8   | 1000 | 0.2202          | 28.2171 |
+| 0.0078        | 3.6   | 2000 | 0.2415          | 35.1244 |
+| 0.0014        | 5.4   | 3000 | 0.2587          | 36.7517 |
+| 0.0033        | 7.19  | 4000 | 0.2790          | 40.8273 |
 
 
 ### Framework versions

model.safetensors

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runs/Dec10_04-04-41_ArtanisPC/events.out.tfevents.1702177491.ArtanisPC.509.1

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training_args.bin

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