End of training

README.md

@@ -0,0 +1,81 @@
+---
+language:
+- multilingual
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: TMP prvontni trenovani jazyk en, train en de en similar
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: xbilek25/train_set_1st_1000_de_en_de
+      type: mozilla-foundation/common_voice_11_0
+      args: 'config: ende, split: train'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 17.387261738726174
+---
+
+<!-- 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. -->
+
+# TMP prvontni trenovani jazyk en, train en de en similar
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the xbilek25/train_set_1st_1000_de_en_de dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3401
+- Wer: 17.3873
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 1
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0979        | 1.12  | 500  | 0.2481          | 19.0875 |
+| 0.0097        | 3.12  | 1000 | 0.2917          | 16.7763 |
+| 0.0017        | 5.12  | 1500 | 0.3298          | 16.9689 |
+| 0.0011        | 7.12  | 2000 | 0.3401          | 17.3873 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.0
+- Tokenizers 0.15.2

generation_config.json

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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+  "language": "english",
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50358
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+  "transformers_version": "4.37.2"
+}

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