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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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model-index:
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- name: pseudolabeling-step2-F01-Pass-2
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results: []
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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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# pseudolabeling-step2-F01-Pass-2
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This model is a fine-tuned version of [monideep2255/XLRS-torgo](https://huggingface.co/monideep2255/XLRS-torgo) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.2704
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- Wer: 1.1942
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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: 0.0003
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- train_batch_size: 16
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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: 32
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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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- num_epochs: 30
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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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| 1.9509 | 2.94 | 400 | 1.1949 | 1.2734 |
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| 0.5686 | 5.88 | 800 | 1.0452 | 1.2266 |
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| 0.4179 | 8.82 | 1200 | 1.1876 | 1.2032 |
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| 0.3137 | 11.76 | 1600 | 1.2691 | 1.2572 |
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| 0.2329 | 14.7 | 2000 | 1.2944 | 1.2104 |
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| 0.1851 | 17.64 | 2400 | 1.4389 | 1.2626 |
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| 0.1427 | 20.59 | 2800 | 1.3325 | 1.2608 |
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| 0.1101 | 23.53 | 3200 | 1.4132 | 1.2176 |
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| 0.0805 | 26.47 | 3600 | 1.3443 | 1.2482 |
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| 0.0645 | 29.41 | 4000 | 1.2704 | 1.1942 |
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### Framework versions
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- Transformers 4.23.1
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- Pytorch 1.12.1+cu113
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- Datasets 1.18.3
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- Tokenizers 0.13.2
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