End of training

README.md

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+---
+language:
+- ru
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: 'Whisper Small Ru ORD 0.9 - Mizoru '
+  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. -->
+
+[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/mizoru/ORD/runs/9kmjw1o8)
+# Whisper Small Ru ORD 0.9 - Mizoru 
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ORD_0.9 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0101
+- Wer: 55.3480
+- Cer: 30.6157
+- Clean Wer: 49.0786
+- Clean Cer: 25.0685
+
+## 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: 500
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     | Cer     | Clean Wer | Clean Cer |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:---------:|:---------:|
+| 1.0556        | 1.0   | 550  | 1.0824          | 56.6466 | 31.3266 | 49.6817   | 25.7468   |
+| 0.979         | 2.0   | 1100 | 1.0150          | 55.8725 | 31.2389 | 49.7929   | 25.7459   |
+| 0.8231        | 3.0   | 1650 | 1.0072          | 55.8588 | 30.5663 | 49.0675   | 24.9799   |
+| 0.7372        | 4.0   | 2200 | 1.0101          | 55.3480 | 30.6157 | 49.0786   | 25.0685   |
+
+
+### Framework versions
+
+- Transformers 4.41.0.dev0
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
+    ],
+    [
+      8,
+      0
+    ],
+    [
+      8,
+      4
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
+      9,
+      0
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+    [
+      9,
+      7
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+    [
+      9,
+      9
+    ],
+    [
+      10,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      50263
+    ],
+    [
+      2,
+      50359
+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
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+  },
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": true,
+  "suppress_tokens": [],
+  "task_to_id": {
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+    "translate": 50358
+  },
+  "transformers_version": "4.41.0.dev0"
+}