Commit
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First upload of the fine-tuned model
Browse files
README.md
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---
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library_name: peft
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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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model-index:
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- name: flan-t5-small
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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-small
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: nan
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- optimizer: Use 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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- num_epochs: 3
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- mixed_precision_training: Native AMP
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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 | 0.2 | 100 | nan |
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| No log | 0.4 | 200 | nan |
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| No log | 0.6 | 300 | nan |
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| No log | 0.8 | 400 | nan |
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| 0.0 | 1.0 | 500 | nan |
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| 0.0 | 1.2 | 600 | nan |
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| 0.0 | 1.4 | 700 | nan |
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| 0.0 | 1.6 | 800 | nan |
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| 0.0 | 1.8 | 900 | nan |
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| 0.0 | 2.0 | 1000 | nan |
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| 0.0 | 2.2 | 1100 | nan |
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| 0.0 | 2.4 | 1200 | nan |
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| 0.0 | 2.6 | 1300 | nan |
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| 0.0 | 2.8 | 1400 | nan |
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| 0.0 | 3.0 | 1500 | nan |
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### Framework versions
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- PEFT 0.13.2
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- Transformers 4.46.2
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- Pytorch 2.5.1+cu121
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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