rorschach-40
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README.md
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base_model: google/flan-t5-large
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tags:
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- generated_from_trainer
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model-index:
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- name: flan-t5-large-batch_1-text-classification
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results: []
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# flan-t5-large-batch_1-text-classification
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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## Model description
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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:
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- eval_batch_size:
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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:
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### Training results
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### Framework versions
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base_model: google/flan-t5-large
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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model-index:
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- name: flan-t5-large-batch_1-text-classification
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results: []
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# flan-t5-large-batch_1-text-classification
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This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3435
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- Precision: 0.8391
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- Recall: 0.9730
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- F1: 0.9011
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## Model description
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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: 10
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- eval_batch_size: 10
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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: 1
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
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| 0.4053 | 1.0 | 234 | 0.3435 | 0.8391 | 0.9730 | 0.9011 |
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### Framework versions
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