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--- |
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license: apache-2.0 |
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base_model: bigscience/mt0-small |
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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: mt0-small-query-extraction-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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# mt0-small-query-extraction-2 |
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This model is a fine-tuned version of [bigscience/mt0-small](https://huggingface.co/bigscience/mt0-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0000 |
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- Rouge1: 67.4541 |
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- Rouge2: 63.5776 |
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- Rougel: 67.4563 |
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- Rougelsum: 67.4555 |
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- Gen Len: 19.0 |
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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: 5e-05 |
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- train_batch_size: 24 |
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- eval_batch_size: 16 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| |
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| 0.0025 | 1.0 | 5000 | 0.0000 | 67.4541 | 63.5776 | 67.4563 | 67.4555 | 19.0 | |
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| 0.0009 | 2.0 | 10000 | 0.0000 | 67.4541 | 63.5776 | 67.4563 | 67.4555 | 19.0 | |
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| 0.0004 | 3.0 | 15000 | 0.0000 | 67.4541 | 63.5776 | 67.4563 | 67.4555 | 19.0 | |
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### Framework versions |
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- Transformers 4.41.2 |
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- Pytorch 2.3.0+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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