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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-small |
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tags: |
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- generated_from_trainer |
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datasets: |
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- squad |
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model-index: |
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- name: google-flan-t5-small-modified_v2 |
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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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# google-flan-t5-small-modified_v2 |
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the squad dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.3020 |
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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: 2e-05 |
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- train_batch_size: 16 |
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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: 10 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| No log | 1.0 | 250 | 3.7751 | |
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| 4.3074 | 2.0 | 500 | 2.1221 | |
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| 4.3074 | 3.0 | 750 | 1.7130 | |
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| 2.5366 | 4.0 | 1000 | 1.5271 | |
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| 2.5366 | 5.0 | 1250 | 1.4301 | |
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| 2.0483 | 6.0 | 1500 | 1.3643 | |
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| 2.0483 | 7.0 | 1750 | 1.3389 | |
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| 1.8774 | 8.0 | 2000 | 1.3123 | |
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| 1.8774 | 9.0 | 2250 | 1.3067 | |
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| 1.7724 | 10.0 | 2500 | 1.3020 | |
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### Framework versions |
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- Transformers 4.31.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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