Model save
Browse files- README.md +66 -0
- generation_config.json +6 -0
- logs/events.out.tfevents.1724608886.algo-1.65.0 +2 -2
README.md
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---
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library_name: transformers
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license: mit
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base_model: openai-community/gpt2
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tags:
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- trl
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- sft
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- generated_from_trainer
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datasets:
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- piqa
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model-index:
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- name: HW2-supervised
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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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# HW2-supervised
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on the piqa dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.9822
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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: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 16
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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: 3
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 3.2637 | 0.9991 | 805 | 3.0219 |
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| 3.0283 | 1.9994 | 1611 | 2.9898 |
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| 2.964 | 2.9972 | 2415 | 2.9822 |
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### Framework versions
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- Transformers 4.44.2
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- Pytorch 2.0.0
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- Datasets 2.16.1
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- Tokenizers 0.19.1
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 50256,
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"eos_token_id": 50256,
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"transformers_version": "4.44.2"
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}
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logs/events.out.tfevents.1724608886.algo-1.65.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d643e42a0ba1830f56210b7541bd563ce2f118a3a76cb0b1624b9a177a123b9
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size 7438
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