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--- |
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license: apache-2.0 |
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library_name: peft |
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tags: |
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- generated_from_trainer |
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base_model: bigscience/mt0-large |
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model-index: |
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- name: mt0-large_adalora_627_lr5e-05_bs4_epoch5_wd0.01 |
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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-large_adalora_627_lr5e-05_bs4_epoch5_wd0.01 |
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This model is a fine-tuned version of [bigscience/mt0-large](https://huggingface.co/bigscience/mt0-large) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1217 |
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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: 4 |
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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_steps: 500 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.4956 | 1.0 | 157 | 1.1954 | |
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| 1.2811 | 2.0 | 314 | 0.9735 | |
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| 1.0748 | 3.0 | 471 | 0.3760 | |
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| 0.3128 | 4.0 | 628 | 0.1451 | |
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| 0.2162 | 5.0 | 785 | 0.1217 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.36.2 |
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- Pytorch 2.0.1 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.0 |
