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--- |
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license: apache-2.0 |
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base_model: google/flan-t5-base |
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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-base-absa-multitask-laptops |
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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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# flan-t5-base-absa-multitask-laptops |
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This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1018 |
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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: 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 6 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 2.2844 | 0.32 | 200 | 0.4246 | |
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| 0.4429 | 0.63 | 400 | 0.2980 | |
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| 0.3178 | 0.95 | 600 | 0.2268 | |
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| 0.2319 | 1.26 | 800 | 0.1942 | |
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| 0.2079 | 1.58 | 1000 | 0.1855 | |
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| 0.1856 | 1.9 | 1200 | 0.1633 | |
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| 0.1599 | 2.21 | 1400 | 0.1630 | |
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| 0.135 | 2.53 | 1600 | 0.1485 | |
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| 0.1409 | 2.84 | 1800 | 0.1434 | |
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| 0.1289 | 3.16 | 2000 | 0.1258 | |
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| 0.1128 | 3.48 | 2200 | 0.1297 | |
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| 0.111 | 3.79 | 2400 | 0.1141 | |
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| 0.0999 | 4.11 | 2600 | 0.1301 | |
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| 0.0945 | 4.42 | 2800 | 0.1055 | |
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| 0.0894 | 4.74 | 3000 | 0.1090 | |
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| 0.0909 | 5.06 | 3200 | 0.1047 | |
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| 0.0811 | 5.37 | 3400 | 0.1048 | |
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| 0.0817 | 5.69 | 3600 | 0.1018 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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