End of training

README.md

@@ -0,0 +1,97 @@
+---
+library_name: transformers
+language:
+- hi
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0
+metrics:
+- wer
+model-index:
+- name: Whisper Small Ori vi
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      args: 'config: hi, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 16.551919937539925
+---
+
+<!-- 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 Ori vi
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4981
+- Wer: 16.5519
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 200
+- training_steps: 2000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Wer     |
+|:-------------:|:------:|:----:|:---------------:|:-------:|
+| 0.5019        | 0.2222 | 100  | 0.4649          | 17.3540 |
+| 0.4235        | 0.4444 | 200  | 0.4257          | 16.7932 |
+| 0.4364        | 0.6667 | 300  | 0.4184          | 16.5164 |
+| 0.4106        | 0.8889 | 400  | 0.4043          | 15.6434 |
+| 0.2338        | 1.1111 | 500  | 0.4064          | 15.7286 |
+| 0.2286        | 1.3333 | 600  | 0.4066          | 15.9699 |
+| 0.2185        | 1.5556 | 700  | 0.4058          | 15.7428 |
+| 0.212         | 1.7778 | 800  | 0.3999          | 15.6079 |
+| 0.2308        | 2.0    | 900  | 0.3991          | 17.2617 |
+| 0.0983        | 2.2222 | 1000 | 0.4233          | 15.9415 |
+| 0.1183        | 2.4444 | 1100 | 0.4286          | 16.0409 |
+| 0.1003        | 2.6667 | 1200 | 0.4304          | 16.0764 |
+| 0.1005        | 2.8889 | 1300 | 0.4332          | 15.7641 |
+| 0.048         | 3.1111 | 1400 | 0.4636          | 16.3248 |
+| 0.0475        | 3.3333 | 1500 | 0.4684          | 16.2041 |
+| 0.0516        | 3.5556 | 1600 | 0.4679          | 16.2254 |
+| 0.058         | 3.7778 | 1700 | 0.4691          | 16.2538 |
+| 0.0457        | 4.0    | 1800 | 0.4693          | 16.2041 |
+| 0.028         | 4.2222 | 1900 | 0.4940          | 16.4880 |
+| 0.0235        | 4.4444 | 2000 | 0.4981          | 16.5519 |
+
+
+### Framework versions
+
+- Transformers 4.46.3
+- Pytorch 2.4.0
+- Datasets 3.1.0
+- Tokenizers 0.20.0

generation_config.json

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+{
+  "alignment_heads": [
+    [
+      5,
+      3
+    ],
+    [
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+      9
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+      0
+    ],
+    [
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+      4
+    ],
+    [
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+      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,
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+    "<|vi|>": 50278,
+    "<|yi|>": 50335,
+    "<|yo|>": 50325,
+    "<|zh|>": 50260
+  },
+  "language": "english",
+  "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": "4.46.3"
+}

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