Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-base
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: whisper-base-bn-cv17
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: bn
+      split: test
+      args: bn
+    metrics:
+    - name: Wer
+      type: wer
+      value: 43.3376789636259
+---
+
+<!-- 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-base-bn-cv17
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1452
+- Wer: 43.3377
+
+## 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: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: constant_with_warmup
+- lr_scheduler_warmup_steps: 500
+- training_steps: 6000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.3611        | 0.2618 | 500  | 0.3751          | 80.9274 |
+| 0.2488        | 0.5236 | 1000 | 0.2592          | 67.2633 |
+| 0.2108        | 0.7853 | 1500 | 0.2193          | 60.3502 |
+| 0.159         | 1.0471 | 2000 | 0.1998          | 56.0622 |
+| 0.1493        | 1.3089 | 2500 | 0.1855          | 54.1043 |
+| 0.1455        | 1.5707 | 3000 | 0.1722          | 51.0905 |
+| 0.1359        | 1.8325 | 3500 | 0.1636          | 48.9107 |
+| 0.1056        | 2.0942 | 4000 | 0.1559          | 46.7719 |
+| 0.1035        | 2.3560 | 4500 | 0.1536          | 45.9615 |
+| 0.1011        | 2.6178 | 5000 | 0.1506          | 45.5516 |
+| 0.0994        | 2.8796 | 5500 | 0.1421          | 43.5045 |
+| 0.072         | 3.1414 | 6000 | 0.1452          | 43.3377 |
+
+
+### Framework versions
+
+- Transformers 4.45.0
+- Pytorch 2.2.1+cu121
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      3,
+      1
+    ],
+    [
+      4,
+      2
+    ],
+    [
+      4,
+      3
+    ],
+    [
+      4,
+      7
+    ],
+    [
+      5,
+      1
+    ],
+    [
+      5,
+      2
+    ],
+    [
+      5,
+      4
+    ],
+    [
+      5,
+      6
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "forced_decoder_ids": [
+    [
+      1,
+      null
+    ],
+    [
+      2,
+      50359
+    ]
+  ],
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
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+    "<|zh|>": 50260
+  },
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
+  "suppress_tokens": [],
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.45.0"
+}