Commit
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Parent(s):
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End of training
Browse files- README.md +80 -0
- model.safetensors +1 -1
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- ami
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metrics:
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- wer
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model-index:
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- name: model_optimization
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results:
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- task:
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name: Automatic Speech Recognition
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type: automatic-speech-recognition
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dataset:
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name: ami
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type: ami
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config: ihm
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split: None
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args: ihm
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metrics:
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- name: Wer
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type: wer
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value: 0.24598930481283424
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# model_optimization
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This model was trained from scratch on the ami dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.0220
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- Wer: 0.2460
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 1e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 16
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 500
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- training_steps: 1000
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Wer |
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|:-------------:|:-----:|:----:|:---------------:|:------:|
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| 1.2804 | 50.0 | 250 | 1.8094 | 0.3636 |
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| 0.637 | 100.0 | 500 | 2.6436 | 0.3155 |
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| 0.4223 | 150.0 | 750 | 1.6623 | 0.2406 |
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| 0.3273 | 200.0 | 1000 | 2.0220 | 0.2460 |
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### Framework versions
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- Transformers 4.42.4
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- Pytorch 2.3.1+cu121
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- Datasets 2.20.0
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- Tokenizers 0.19.1
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model.safetensors
CHANGED
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 377611120
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8b8fd572f128d44962a6c1e8e255b15c5bada1f71efddebdb5b8ef635caa9c9
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size 377611120
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