End of training

README.md

@@ -0,0 +1,93 @@
+---
+language:
+- ro
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- VladS159/common_voice_17_0_romanian_speech_synthesis
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ro - Sarbu Vlad - multi gpu --> 3
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0 + Romanian speech synthesis
+      type: VladS159/common_voice_17_0_romanian_speech_synthesis
+      args: 'config: ro, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 10.55709542810149
+---
+
+<!-- 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 Small Ro - Sarbu Vlad - multi gpu --> 3
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 17.0 + Romanian speech synthesis dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1249
+- Wer: 10.5571
+
+## 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: 10
+- seed: 42
+- distributed_type: multi-GPU
+- num_devices: 3
+- total_train_batch_size: 48
+- total_eval_batch_size: 30
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 600
+- training_steps: 6000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.2432        | 0.68  | 500  | 0.2134          | 19.7435 |
+| 0.137         | 1.36  | 1000 | 0.1532          | 15.5189 |
+| 0.0672        | 2.04  | 1500 | 0.1287          | 13.0426 |
+| 0.0579        | 2.72  | 2000 | 0.1218          | 12.8659 |
+| 0.0307        | 3.4   | 2500 | 0.1183          | 11.9887 |
+| 0.0167        | 4.08  | 3000 | 0.1177          | 11.5866 |
+| 0.016         | 4.76  | 3500 | 0.1149          | 10.9531 |
+| 0.0099        | 5.43  | 4000 | 0.1212          | 10.9713 |
+| 0.0058        | 6.11  | 4500 | 0.1216          | 10.8251 |
+| 0.0056        | 6.79  | 5000 | 0.1224          | 10.6515 |
+| 0.0036        | 7.47  | 5500 | 0.1238          | 10.6211 |
+| 0.0035        | 8.15  | 6000 | 0.1249          | 10.5571 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.0
+- Datasets 2.17.0
+- Tokenizers 0.15.1

generation_config.json

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+}

runs/May28_22-51-49_ubuntu-llama/events.out.tfevents.1716925926.ubuntu-llama.2346873.0

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