End of training

README.md

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+---
+language:
+- en
+license: mit
+base_model: distil-whisper/distil-small.en
+tags:
+- generated_from_trainer
+datasets:
+- PolyAI/minds14
+metrics:
+- wer
+model-index:
+- name: Distil Whisper Small finetuned on PolyAI Minds14 English US.
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Speech Transcription in English from e-banking domain.
+      type: PolyAI/minds14
+      config: en-US
+      split: train
+      args: en-US
+    metrics:
+    - name: Wer
+      type: wer
+      value: 0.3318442884492661
+---
+
+<!-- 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. -->
+
+# Distil Whisper Small finetuned on PolyAI Minds14 English US.
+
+This model is a fine-tuned version of [distil-whisper/distil-small.en](https://huggingface.co/distil-whisper/distil-small.en) on the Speech Transcription in English from e-banking domain. dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0182
+- Wer Ortho: 0.3371
+- Wer: 0.3318
+
+## 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: 50
+- training_steps: 400
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer    |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|
+| 0.2325        | 3.57  | 100  | 0.6222          | 0.3557    | 0.3472 |
+| 0.0196        | 7.14  | 200  | 0.8475          | 0.3757    | 0.3689 |
+| 0.0014        | 10.71 | 300  | 0.9729          | 0.3630    | 0.3555 |
+| 0.0006        | 14.29 | 400  | 1.0182          | 0.3371    | 0.3318 |
+
+
+### Framework versions
+
+- Transformers 4.36.0
+- Pytorch 2.0.0
+- Datasets 2.1.0
+- Tokenizers 0.15.0

generation_config.json

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+  "begin_suppress_tokens": [
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+    50256
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+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
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+  ],
+  "is_multilingual": false,
+  "language": "<|en|>",
+  "max_initial_timestamp_index": 1,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "return_timestamps": false,
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+  "task": "transcribe",
+  "transformers_version": "4.36.0",
+  "use_scan": false
+}