Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: openai/whisper-medium
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- wer
+model-index:
+- name: whisper-medium-fa
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: fa
+      split: None
+      args: fa
+    metrics:
+    - name: Wer
+      type: wer
+      value: 40.872328527979704
+---
+
+<!-- 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-medium-fa
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4233
+- Wer: 40.8723
+
+## 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: 1000
+- training_steps: 1000
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.3796        | 0.0811 | 200  | 0.5452          | 47.2661 |
+| 0.3085        | 0.1622 | 400  | 0.4883          | 44.2043 |
+| 0.2575        | 0.2433 | 600  | 0.4480          | 43.2045 |
+| 0.2283        | 0.3244 | 800  | 0.4262          | 40.0376 |
+| 0.246         | 0.4055 | 1000 | 0.4233          | 40.8723 |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+{
+  "alignment_heads": [
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+      13,
+      15
+    ],
+    [
+      15,
+      4
+    ],
+    [
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+    ],
+    [
+      16,
+      1
+    ],
+    [
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+      0
+    ],
+    [
+      23,
+      4
+    ]
+  ],
+  "begin_suppress_tokens": [
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+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
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+    "<|zh|>": 50260
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+  "language": "persian",
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+  "max_length": 448,
+  "no_timestamps_token_id": 50363,
+  "pad_token_id": 50257,
+  "prev_sot_token_id": 50361,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "task_to_id": {
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+    "translate": 50358
+  },
+  "transformers_version": "4.44.2"
+}