End of training

README.md

@@ -1,22 +1,71 @@
 ---
-datasets:
-  - mozilla-foundation/common_voice_16_1
 language:
 - hu
-widget:
-  - example_title: Sample 1
-    src: >-
-      https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample1.flac
-  - example_title: Sample 2
-    src: >-
-      https://huggingface.co/datasets/Hungarians/samples/resolve/main/Sample2.flac
 license: apache-2.0
-base_model: openai/whisper-small
+base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
 metrics:
 - wer
 model-index:
-- name: Whisper Small Hu - Cleaned
+- name: Whisper Small Hu - cleaned
   results: []
----
+---
+
+<!-- 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 Hu - cleaned
+
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 16.1 hu cleaned dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0982
+- Wer Ortho: 11.0788
+- Wer: 10.2129
+
+## 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: 1.25e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 256
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 100
+- training_steps: 1000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.0904        | 1.33  | 200  | 0.1232          | 15.4117   | 14.4286 |
+| 0.0316        | 2.66  | 400  | 0.0950          | 11.8467   | 10.9171 |
+| 0.0136        | 3.99  | 600  | 0.0950          | 11.3208   | 10.4348 |
+| 0.0047        | 5.32  | 800  | 0.0959          | 10.9079   | 10.0424 |
+| 0.0029        | 6.64  | 1000 | 0.0982          | 11.0788   | 10.2129 |
+
+
+### Framework versions
+
+- Transformers 4.37.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.1

generation_config.json

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+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
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+    [
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+  "is_multilingual": true,
+  "lang_to_id": {
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+}

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