End of training

README.md

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+---
+language:
+- eng
+license: apache-2.0
+base_model: openai/whisper-base.en
+tags:
+- generated_from_trainer
+datasets:
+- fyp
+metrics:
+- wer
+model-index:
+- name: Whisper Fine tuned Base
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Fyp Dataset
+      type: fyp
+      args: 'config: eng, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 15.01856226797165
+---
+
+<!-- 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 Fine tuned Base
+
+This model is a fine-tuned version of [openai/whisper-base.en](https://huggingface.co/openai/whisper-base.en) on the Fyp Dataset dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3550
+- Wer: 15.0186
+
+## 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: 0.0001
+- train_batch_size: 8
+- eval_batch_size: 5
+- 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: 2
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:-------:|
+| 0.3123        | 0.5   | 25   | 0.4652          | 20.1147 |
+| 0.3282        | 1.0   | 50   | 0.3655          | 16.2673 |
+| 0.0376        | 1.5   | 75   | 0.3693          | 15.4573 |
+| 0.0468        | 2.0   | 100  | 0.3754          | 20.2497 |
+| 0.0067        | 2.5   | 125  | 0.3585          | 15.3898 |
+| 0.0098        | 3.0   | 150  | 0.3550          | 15.0186 |
+
+
+### Framework versions
+
+- Transformers 4.44.0
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

generation_config.json

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+    [
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+    ]
+  ],
+  "begin_suppress_tokens": [
+    220,
+    50256
+  ],
+  "bos_token_id": 50257,
+  "decoder_start_token_id": 50257,
+  "eos_token_id": 50256,
+  "forced_decoder_ids": [
+    [
+      1,
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+  ],
+  "is_multilingual": false,
+  "max_initial_timestamp_index": 50,
+  "max_length": 448,
+  "no_timestamps_token_id": 50362,
+  "pad_token_id": 50256,
+  "prev_sot_token_id": 50360,
+  "return_timestamps": false,
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+  "transformers_version": "4.44.0"
+}