End of training

README.md

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+---
+language:
+- en
+base_model: openai/small
+tags:
+- generated_from_trainer
+datasets:
+- QEC
+metrics:
+- wer
+model-index:
+- name: whisper-small-quartr
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Quartr Earnings Calls
+      type: QEC
+      args: 'config: en, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 32.834424695977546
+---
+
+<!-- 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-quartr
+
+This model is a fine-tuned version of [openai/small](https://huggingface.co/openai/small) on the Quartr Earnings Calls dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6429
+- Wer: 32.8344
+
+## 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: 8.120528078446462e-06
+- 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: cosine_with_restarts
+- lr_scheduler_warmup_steps: 84
+- training_steps: 1500
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.6771        | 0.32  | 100  | 0.6577          | 25.7437 |
+| 0.6533        | 0.64  | 200  | 0.6025          | 34.6804 |
+| 0.5793        | 0.96  | 300  | 0.5784          | 24.3530 |
+| 0.3872        | 1.28  | 400  | 0.5856          | 32.9592 |
+| 0.4447        | 1.61  | 500  | 0.5646          | 23.2429 |
+| 0.414         | 1.93  | 600  | 0.5616          | 70.7016 |
+| 0.2489        | 2.25  | 700  | 0.5816          | 35.2666 |
+| 0.2863        | 2.57  | 800  | 0.5853          | 24.7583 |
+| 0.2698        | 2.89  | 900  | 0.5844          | 32.7409 |
+| 0.1646        | 3.21  | 1000 | 0.6182          | 27.7892 |
+| 0.174         | 3.53  | 1100 | 0.6228          | 36.2021 |
+| 0.2021        | 3.85  | 1200 | 0.6269          | 35.9775 |
+| 0.2239        | 4.17  | 1300 | 0.6367          | 35.2666 |
+| 0.1551        | 4.49  | 1400 | 0.6420          | 32.4478 |
+| 0.1351        | 4.82  | 1500 | 0.6429          | 32.8344 |
+
+
+### Framework versions
+
+- Transformers 4.40.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.1.dev0
+- Tokenizers 0.15.2

generation_config.json

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+{
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+      3
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+    [
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+      7
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+    [
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+      8
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+    [
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+  "is_multilingual": true,
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+}