michalzajac
commited on
Commit
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End of training
Browse files- README.md +55 -0
- runs/Mar11_09-12-48_devbox-q7k54/events.out.tfevents.1710148403.devbox-q7k54.3194.0 +3 -0
- runs/Mar11_09-56-19_devbox-q7k54/events.out.tfevents.1710151003.devbox-q7k54.27883.0 +3 -0
- runs/Mar11_09-59-16_devbox-q7k54/events.out.tfevents.1710151163.devbox-q7k54.29650.0 +3 -0
- runs/Mar11_10-05-11_devbox-q7k54/events.out.tfevents.1710151518.devbox-q7k54.32386.0 +3 -0
- runs/Mar11_10-09-03_devbox-q7k54/events.out.tfevents.1710151750.devbox-q7k54.34395.0 +3 -0
- runs/Mar11_10-13-22_devbox-q7k54/events.out.tfevents.1710152009.devbox-q7k54.36633.0 +3 -0
- runs/Mar11_10-16-43_devbox-q7k54/events.out.tfevents.1710152210.devbox-q7k54.38485.0 +3 -0
- runs/Mar11_10-18-58_devbox-q7k54/events.out.tfevents.1710152345.devbox-q7k54.39900.0 +3 -0
- runs/Mar11_10-22-38_devbox-q7k54/events.out.tfevents.1710152565.devbox-q7k54.41763.0 +3 -0
- runs/Mar11_10-23-37_devbox-q7k54/events.out.tfevents.1710152624.devbox-q7k54.42682.0 +3 -0
- runs/Mar11_10-25-42_devbox-q7k54/events.out.tfevents.1710152749.devbox-q7k54.44026.0 +3 -0
- runs/Mar11_10-27-15_devbox-q7k54/events.out.tfevents.1710152842.devbox-q7k54.45094.0 +3 -0
- runs/Mar11_10-29-07_devbox-q7k54/events.out.tfevents.1710152953.devbox-q7k54.46329.0 +3 -0
- runs/Mar11_10-31-31_devbox-q7k54/events.out.tfevents.1710153098.devbox-q7k54.47807.0 +3 -0
README.md
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---
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base_model: EleutherAI/pythia-14m
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tags:
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- generated_from_trainer
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model-index:
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- name: robust_llm_84a664f4df9211ee886186e11d54e141_from_EleutherAI_pythia-14m
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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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# robust_llm_84a664f4df9211ee886186e11d54e141_from_EleutherAI_pythia-14m
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This model is a fine-tuned version of [EleutherAI/pythia-14m](https://huggingface.co/EleutherAI/pythia-14m) on an unknown dataset.
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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: 1e-05
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- train_batch_size: 4
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- eval_batch_size: 32
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- total_train_batch_size: 8
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- total_eval_batch_size: 64
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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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### Framework versions
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- Transformers 4.37.2
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- Pytorch 2.2.0
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- Datasets 2.17.0
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- Tokenizers 0.15.2
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runs/Mar11_09-12-48_devbox-q7k54/events.out.tfevents.1710148403.devbox-q7k54.3194.0
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