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--- |
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license: apache-2.0 |
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base_model: EleutherAI/pythia-70m |
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tags: |
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- generated_from_trainer |
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model-index: |
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- name: pythia-70m-sft-function-calling |
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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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# pythia-70m-sft-function-calling |
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This model is a fine-tuned version of [EleutherAI/pythia-70m](https://huggingface.co/EleutherAI/pythia-70m) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9858 |
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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: 5 |
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- eval_batch_size: 8 |
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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: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:-----:|:---------------:| |
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| 1.2294 | 0.11 | 2000 | 1.2844 | |
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| 1.115 | 0.22 | 4000 | 1.1689 | |
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| 1.0368 | 0.33 | 6000 | 1.1194 | |
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| 1.0346 | 0.44 | 8000 | 1.0797 | |
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| 0.9951 | 0.55 | 10000 | 1.0522 | |
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| 0.9832 | 0.66 | 12000 | 1.0325 | |
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| 0.9931 | 0.77 | 14000 | 1.0093 | |
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| 0.9502 | 0.88 | 16000 | 0.9944 | |
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| 0.9649 | 0.99 | 18000 | 0.9858 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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