End of training

README.md

@@ -0,0 +1,107 @@
+---
+library_name: transformers
+language:
+- lv
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: Whisper medium LV - Felikss Kleins
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 17.0
+      type: mozilla-foundation/common_voice_17_0
+      config: lv
+      split: None
+      args: 'config: lv, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 67.95180722891565
+---
+
+<!-- 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 medium LV - Felikss Kleins
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 17.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1313
+- Wer: 67.9518
+
+## 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: 6
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 12
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 5000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch    | Step | Validation Loss | Wer     |
+|:-------------:|:--------:|:----:|:---------------:|:-------:|
+| No log        | 23.0009  | 200  | 0.9920          | 47.2289 |
+| 1.4829        | 47.0001  | 400  | 0.7982          | 48.9157 |
+| 0.046         | 70.001   | 600  | 0.9576          | 51.3253 |
+| 0.011         | 94.0002  | 800  | 0.9129          | 49.3976 |
+| 0.0057        | 117.0011 | 1000 | 0.9789          | 51.3253 |
+| 0.0057        | 141.0003 | 1200 | 1.0248          | 51.8072 |
+| 0.005         | 164.0012 | 1400 | 1.0504          | 53.4940 |
+| 0.0021        | 188.0004 | 1600 | 1.0447          | 67.9518 |
+| 0.0015        | 211.0013 | 1800 | 1.0433          | 73.2530 |
+| 0.0012        | 235.0005 | 2000 | 1.0646          | 55.1807 |
+| 0.0012        | 258.0014 | 2200 | 1.1244          | 53.7349 |
+| 0.0007        | 282.0006 | 2400 | 1.1156          | 59.5181 |
+| 0.0006        | 305.0015 | 2600 | 1.1081          | 58.5542 |
+| 0.0009        | 329.0007 | 2800 | 1.0342          | 54.4578 |
+| 0.0006        | 352.0016 | 3000 | 1.0215          | 50.8434 |
+| 0.0006        | 376.0008 | 3200 | 1.0619          | 56.6265 |
+| 0.0004        | 399.0017 | 3400 | 1.1083          | 55.4217 |
+| 0.0003        | 423.0009 | 3600 | 1.0970          | 56.8675 |
+| 0.0006        | 447.0001 | 3800 | 1.1047          | 59.0361 |
+| 0.0003        | 470.001  | 4000 | 1.1033          | 56.1446 |
+| 0.0003        | 494.0002 | 4200 | 1.1003          | 57.5904 |
+| 0.0002        | 517.0011 | 4400 | 1.1133          | 68.4337 |
+| 0.0002        | 541.0003 | 4600 | 1.1146          | 69.3976 |
+| 0.0001        | 564.0012 | 4800 | 1.1267          | 69.8795 |
+| 0.0001        | 588.0004 | 5000 | 1.1313          | 67.9518 |
+
+
+### Framework versions
+
+- Transformers 4.45.0.dev0
+- Pytorch 2.0.1
+- Datasets 3.0.0
+- Tokenizers 0.19.1

generation_config.json

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+}

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