End of training

README.md

@@ -1,89 +1,89 @@
----
-library_name: transformers
-language:
-- ro
-license: apache-2.0
-base_model: openai/whisper-tiny
-tags:
-- generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_17_0
-metrics:
-- wer
-model-index:
-- name: Whisper Tiny Ro - Augustin Jianu (step-5000)
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 17.0
-      type: mozilla-foundation/common_voice_17_0
-      config: ro
-      split: None
-      args: 'config: ro, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 37.98212187043698
----
-
-<!-- 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. -->
-
-# Whisper Tiny Ro - Augustin Jianu (step-5000)
-
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4848
-- Wer: 37.9821
-
-## Model description
-
-More information needed
-
-## Intended uses & limitations
-
-More information needed
-
-## Training and evaluation data
-
-More information needed
-
-## Training procedure
-
-### Training hyperparameters
-
-The following hyperparameters were used during training:
-- learning_rate: 5e-06
-- train_batch_size: 16
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use 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_steps: 500
-- training_steps: 10000
-- mixed_precision_training: Native AMP
-
-### Training results
-
-| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
-|:-------------:|:-------:|:-----:|:---------------:|:-------:|
-| 0.5444        | 1.7730  | 1000  | 0.6042          | 48.8799 |
-| 0.3042        | 3.5461  | 2000  | 0.5100          | 41.1731 |
-| 0.1817        | 5.3191  | 3000  | 0.4850          | 40.7564 |
-| 0.1214        | 7.0922  | 4000  | 0.4807          | 41.8106 |
-| 0.1066        | 8.8652  | 5000  | 0.4847          | 37.9679 |
-| 0.0673        | 10.6383 | 6000  | 0.4973          | 39.7094 |
-| 0.0537        | 12.4113 | 7000  | 0.5095          | 41.2906 |
-| 0.0393        | 14.1844 | 8000  | 0.5176          | 41.3761 |
-| 0.0354        | 15.9574 | 9000  | 0.5259          | 42.9538 |
-| 0.0317        | 17.7305 | 10000 | 0.5294          | 44.5671 |
-
-
-### Framework versions
-
-- Transformers 4.48.0
-- Pytorch 2.5.1+cu121
-- Datasets 3.2.0
-- Tokenizers 0.21.0
+---
+library_name: transformers
+language:
+- ro
+license: apache-2.0
+base_model: openai/whisper-tiny
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper Tiny Ro (local) - Augustin Jianu
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: ro
+      split: test
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 37.48352861569144
+---
+
+<!-- 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. -->
+
+# Whisper Tiny Ro (local) - Augustin Jianu
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5978
+- Wer: 37.4835
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- 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_steps: 500
+- training_steps: 10000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch   | Step  | Validation Loss | Wer     |
+|:-------------:|:-------:|:-----:|:---------------:|:-------:|
+| 0.4417        | 1.7730  | 1000  | 0.5327          | 43.8513 |
+| 0.1813        | 3.5461  | 2000  | 0.4666          | 38.8689 |
+| 0.0751        | 5.3191  | 3000  | 0.4645          | 36.5006 |
+| 0.0326        | 7.0922  | 4000  | 0.4803          | 36.4614 |
+| 0.0234        | 8.8652  | 5000  | 0.5087          | 36.5148 |
+| 0.0082        | 10.6383 | 6000  | 0.5424          | 36.6252 |
+| 0.0042        | 12.4113 | 7000  | 0.5650          | 37.6509 |
+| 0.0029        | 14.1844 | 8000  | 0.5809          | 36.8710 |
+| 0.0025        | 15.9574 | 9000  | 0.5922          | 38.1495 |
+| 0.0021        | 17.7305 | 10000 | 0.5978          | 37.4835 |
+
+
+### Framework versions
+
+- Transformers 4.48.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.2.0
+- Tokenizers 0.21.0

generation_config.json

@@ -1,240 +1,240 @@
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+}

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