End of training

README.md

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+---
+library_name: transformers
+language:
+- mr
+license: apache-2.0
+base_model: Viraj008/whisper-small-mr_v5
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_17_0
+- fsicoli/common_voice_19_0
+- ylacombe/google-marathi
+- google/fleurs
+metrics:
+- wer
+model-index:
+- name: Whisper Small MR v6 - Viraj Patil
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: 'Common Voice 17.0, google/fleurs '
+      type: mozilla-foundation/common_voice_17_0
+      config: mr
+      split: None
+      args: 'config: mr, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 34.37749933351106
+---
+
+<!-- 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 MR v6 - Viraj Patil
+
+This model is a fine-tuned version of [Viraj008/whisper-small-mr_v5](https://huggingface.co/Viraj008/whisper-small-mr_v5) on the Common Voice 17.0, google/fleurs  dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2922
+- Wer: 34.3775
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 16
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.0307        | 0.5355 | 1000 | 0.2790          | 36.9235 |
+| 0.0137        | 1.0710 | 2000 | 0.3011          | 35.4572 |
+| 0.015         | 1.6064 | 3000 | 0.2903          | 35.0240 |
+| 0.0067        | 2.1419 | 4000 | 0.2922          | 34.3775 |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
+      5,
+      9
+    ],
+    [
+      8,
+      0
+    ],
+    [
+      8,
+      4
+    ],
+    [
+      8,
+      7
+    ],
+    [
+      8,
+      8
+    ],
+    [
+      9,
+      0
+    ],
+    [
+      9,
+      7
+    ],
+    [
+      9,
+      9
+    ],
+    [
+      10,
+      5
+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50257
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50258,
+  "eos_token_id": 50257,
+  "is_multilingual": true,
+  "lang_to_id": {
+    "<|af|>": 50327,
+    "<|am|>": 50334,
+    "<|ar|>": 50272,
+    "<|as|>": 50350,
+    "<|az|>": 50304,
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+    "<|be|>": 50330,
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+    "<|fr|>": 50265,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "marathi",
+  "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": [
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+  ],
+  "task": "transcribe",
+  "task_to_id": {
+    "transcribe": 50359,
+    "translate": 50358
+  },
+  "transformers_version": "4.45.1"
+}