allyyc
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Browse files- README.md +0 -52
- all_results.json +0 -8
- optimizer.pt +3 -0
- rng_state.pth +3 -0
- scheduler.pt +3 -0
- train_results.json +0 -8
- trainer_state.json +0 -9
README.md
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---
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tags:
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- generated_from_trainer
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datasets:
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- allyc/My-Dataset
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model-index:
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- name: uspto-gpt2-medium-1
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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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# uspto-gpt2-medium-1
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This model is a fine-tuned version of [](https://huggingface.co/) on the allyc/My-Dataset uspto 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: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 32
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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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- training_steps: 68000
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### Training results
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### Framework versions
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- Transformers 4.35.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.6
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- Tokenizers 0.14.1
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all_results.json
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{
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"epoch": 1.0,
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"train_loss": 2.546952809053309,
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"train_runtime": 116511.6778,
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"train_samples": 68000,
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"train_samples_per_second": 18.676,
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"train_steps_per_second": 0.584
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:94751abdb5fe49a9fce5e2d36e4de4eb9a19f85fcc531e2a734a624de7ee1f7f
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size 2838828805
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rng_state.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:bfdaa80090ee4ec33412e2f2792c86b0232add3b7828c892df95f17a76ea9f72
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size 14575
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:0d12e4b164e85df734dd297f0ea64d0ab36256e9460357384a2eb5681ab8f560
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size 627
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train_results.json
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{
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"epoch": 1.0,
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"train_loss": 2.546952809053309,
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"train_runtime": 116511.6778,
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"train_samples": 68000,
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"train_samples_per_second": 18.676,
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"train_steps_per_second": 0.584
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}
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trainer_state.json
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"learning_rate": 0.0,
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"loss": 2.482,
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"step": 68000
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},
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{
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"epoch": 1.0,
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"step": 68000,
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"total_flos": 4.041705422585856e+18,
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"train_loss": 2.546952809053309,
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"train_runtime": 116511.6778,
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"train_samples_per_second": 18.676,
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"train_steps_per_second": 0.584
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}
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],
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"logging_steps": 500,
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"learning_rate": 0.0,
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"loss": 2.482,
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"step": 68000
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}
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],
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"logging_steps": 500,
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