End of training

README.md

@@ -0,0 +1,94 @@
+---
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- hf-asr-leaderboard
+- generated_from_trainer
+model-index:
+- name: Whisper Small ko-Yfreq-E - syp1229
+  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 ko-Yfreq-E - syp1229
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the aihub Y E dialogue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2258
+- Cer: 0.3581
+
+## 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: 2e-05
+- train_batch_size: 8
+- 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: 100
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Cer    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.2621        | 0.15  | 100  | 0.2922          | 0.0749 |
+| 0.2142        | 0.3   | 200  | 0.2691          | 0.0689 |
+| 0.2793        | 0.44  | 300  | 0.2678          | 0.0703 |
+| 0.2804        | 0.59  | 400  | 0.2688          | 0.0884 |
+| 0.2686        | 0.74  | 500  | 0.2498          | 0.0910 |
+| 0.2047        | 0.89  | 600  | 0.2415          | 0.2238 |
+| 0.0935        | 1.04  | 700  | 0.2438          | 0.0816 |
+| 0.0714        | 1.19  | 800  | 0.2456          | 0.1135 |
+| 0.0692        | 1.33  | 900  | 0.2473          | 0.0906 |
+| 0.0851        | 1.48  | 1000 | 0.2421          | 0.3472 |
+| 0.075         | 1.63  | 1100 | 0.2362          | 0.1613 |
+| 0.1515        | 1.78  | 1200 | 0.2349          | 0.0970 |
+| 0.0651        | 1.93  | 1300 | 0.2380          | 0.2633 |
+| 0.027         | 2.07  | 1400 | 0.2350          | 0.1955 |
+| 0.026         | 2.22  | 1500 | 0.2391          | 0.1991 |
+| 0.0341        | 2.37  | 1600 | 0.2375          | 0.1891 |
+| 0.0355        | 2.52  | 1700 | 0.2345          | 0.2059 |
+| 0.0413        | 2.67  | 1800 | 0.2239          | 0.3248 |
+| 0.0282        | 2.81  | 1900 | 0.2334          | 0.6045 |
+| 0.0228        | 2.96  | 2000 | 0.2272          | 0.3440 |
+| 0.006         | 3.11  | 2100 | 0.2239          | 0.3789 |
+| 0.009         | 3.26  | 2200 | 0.2283          | 0.4540 |
+| 0.0082        | 3.41  | 2300 | 0.2271          | 0.3503 |
+| 0.0222        | 3.56  | 2400 | 0.2276          | 0.4661 |
+| 0.009         | 3.7   | 2500 | 0.2281          | 0.4465 |
+| 0.0034        | 3.85  | 2600 | 0.2247          | 0.3773 |
+| 0.0099        | 4.0   | 2700 | 0.2191          | 0.4596 |
+| 0.0051        | 4.15  | 2800 | 0.2220          | 0.3566 |
+| 0.0032        | 4.3   | 2900 | 0.2258          | 0.3479 |
+| 0.0019        | 4.44  | 3000 | 0.2264          | 0.4057 |
+| 0.0024        | 4.59  | 3100 | 0.2262          | 0.4251 |
+| 0.0021        | 4.74  | 3200 | 0.2268          | 0.3512 |
+| 0.0019        | 4.89  | 3300 | 0.2258          | 0.3581 |
+
+
+### Framework versions
+
+- Transformers 4.34.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3

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+}

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