| ---
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| license: apache-2.0
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| base_model: t5-small
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| tags:
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| - generated_from_trainer
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| metrics:
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| - bleu
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| - wer
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| model-index:
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| - name: randomization_model_new
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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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|
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| # randomization_model_new
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| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
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| It achieves the following results on the evaluation set:
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| - Loss: 2.5559
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| - Bleu: 0.0
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| - Wer: 0.9616
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| - Rougel: 0.1052
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| - Gen Len: 19.0
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|
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| ## Model description
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| More information needed
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|
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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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|
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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: 2e-05
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| - train_batch_size: 20
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| - eval_batch_size: 20
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| - seed: 42
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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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| - num_epochs: 3
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| - mixed_precision_training: Native AMP
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|
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| ### Training results
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| | Training Loss | Epoch | Step | Validation Loss | Bleu | Wer | Rougel | Gen Len |
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| |:-------------:|:-----:|:----:|:---------------:|:----:|:------:|:------:|:-------:|
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| | 3.4449 | 0.4 | 100 | 2.9554 | 0.0 | 0.9649 | 0.0961 | 18.99 |
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| | 3.2957 | 0.8 | 200 | 2.7974 | 0.0 | 0.964 | 0.0989 | 18.984 |
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| | 3.1923 | 1.2 | 300 | 2.6976 | 0.0 | 0.9629 | 0.1013 | 18.9945 |
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| | 3.1268 | 1.6 | 400 | 2.6331 | 0.0 | 0.9626 | 0.1025 | 18.9985 |
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| | 3.0741 | 2.0 | 500 | 2.5914 | 0.0 | 0.962 | 0.104 | 18.997 |
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| | 3.0514 | 2.4 | 600 | 2.5671 | 0.0 | 0.9616 | 0.105 | 18.997 |
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| | 3.0312 | 2.8 | 700 | 2.5559 | 0.0 | 0.9616 | 0.1052 | 19.0 |
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| ### Framework versions
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| - Transformers 4.41.0
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| - Pytorch 2.3.0
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| - Datasets 2.19.1
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| - Tokenizers 0.19.1
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