End of training

README.md

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+---
+language:
+- mar
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+metrics:
+- wer
+model-index:
+- name: Whisper Small Mar - Harpreet Singh Anand
+  results: []
+---
+
+<!-- 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 Mar - Harpreet Singh Anand
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1644
+- Wer: 14.3917
+
+## 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: 500
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.0018        | 12.66 | 1000 | 0.1550          | 16.6181 |
+| 0.0001        | 25.32 | 2000 | 0.1529          | 14.6303 |
+| 0.0           | 37.97 | 3000 | 0.1617          | 14.4977 |
+| 0.0           | 50.63 | 4000 | 0.1644          | 14.3917 |
+
+
+### Framework versions
+
+- Transformers 4.39.2
+- Pytorch 2.1.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2

generation_config.json

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+  "is_multilingual": true,
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+  "transformers_version": "4.39.2"
+}