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--- |
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library_name: transformers |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: results-t5base-of-concluding_statements |
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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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# results-t5base-of-concluding_statements |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3235 |
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- Rouge1: 0.4154 |
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- Rouge2: 0.1527 |
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- Rougel: 0.3348 |
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- Gen Len: 60.3511 |
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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: 0.0001 |
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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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- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 500 |
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- num_epochs: 3 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Gen Len | |
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|:-------------:|:------:|:----:|:---------------:|:------:|:------:|:------:|:-------:| |
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| 0.3584 | 0.4950 | 200 | 0.3740 | 0.4033 | 0.1406 | 0.3201 | 59.3288 | |
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| 0.3465 | 0.9901 | 400 | 0.3346 | 0.4122 | 0.1494 | 0.3303 | 60.3201 | |
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| 0.3157 | 1.4851 | 600 | 0.3281 | 0.4152 | 0.1525 | 0.3338 | 60.3498 | |
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| 0.3352 | 1.9802 | 800 | 0.3254 | 0.4155 | 0.153 | 0.3354 | 60.3511 | |
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| 0.338 | 2.4752 | 1000 | 0.3242 | 0.4152 | 0.1523 | 0.3344 | 60.3511 | |
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| 0.3181 | 2.9703 | 1200 | 0.3235 | 0.4154 | 0.1527 | 0.3348 | 60.3511 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.5.0 |
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- Tokenizers 0.21.0 |
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