End of training

README.md

@@ -0,0 +1,89 @@
+---
+language:
+- en
+license: apache-2.0
+base_model: openai/whisper-small
+tags:
+- generated_from_trainer
+datasets:
+- edinburghcstr/ami
+metrics:
+- wer
+model-index:
+- name: Whisper Small - FutureProofGlitch
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: AMI Meeting Corpus
+      type: edinburghcstr/ami
+      config: ihm
+      split: test
+      args: ihm
+    metrics:
+    - name: Wer
+      type: wer
+      value: 19.383175582260982
+---
+
+<!-- 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 - FutureProofGlitch
+
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the AMI Meeting Corpus dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4325
+- Wer Ortho: 19.5838
+- Wer: 19.3832
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 16
+- 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: constant_with_warmup
+- lr_scheduler_warmup_steps: 50
+- training_steps: 4000
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------:|
+| 0.2735        | 0.61  | 500  | 0.3324          | 21.5310   | 21.2081 |
+| 0.1235        | 1.22  | 1000 | 0.3473          | 19.6819   | 19.4991 |
+| 0.1317        | 1.83  | 1500 | 0.3342          | 19.0920   | 18.7929 |
+| 0.0647        | 2.44  | 2000 | 0.3671          | 22.8615   | 22.6949 |
+| 0.0294        | 3.05  | 2500 | 0.3842          | 18.5566   | 18.4101 |
+| 0.0534        | 3.66  | 3000 | 0.4044          | 20.8094   | 20.5998 |
+| 0.0366        | 4.27  | 3500 | 0.4277          | 20.2686   | 20.1372 |
+| 0.0328        | 4.88  | 4000 | 0.4325          | 19.5838   | 19.3832 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.17.0
+- Tokenizers 0.15.2

generation_config.json

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+}

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