Model save
Browse files- README.md +66 -0
- generation_config.json +6 -0
- pytorch_model.bin +1 -1
README.md
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---
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license: apache-2.0
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base_model: distilgpt2
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tags:
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- generated_from_trainer
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model-index:
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- name: Task3
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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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# Task3
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 3.0246
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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: 0.0001
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- train_batch_size: 16
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- eval_batch_size: 16
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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: 10
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:-----:|:---------------:|
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| 3.1753 | 1.0 | 1741 | 3.0775 |
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| 3.0194 | 2.0 | 3482 | 3.0338 |
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| 2.9194 | 3.0 | 5223 | 3.0157 |
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| 2.8401 | 4.0 | 6964 | 3.0063 |
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| 2.7765 | 5.0 | 8705 | 3.0064 |
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| 2.7266 | 6.0 | 10446 | 3.0093 |
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| 2.6817 | 7.0 | 12187 | 3.0105 |
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| 2.6458 | 8.0 | 13928 | 3.0156 |
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| 2.6195 | 9.0 | 15669 | 3.0205 |
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| 2.5997 | 10.0 | 17410 | 3.0246 |
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### Framework versions
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- Transformers 4.32.1
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- Pytorch 2.0.1+cu118
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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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": "4.32.1"
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}
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 327674773
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version https://git-lfs.github.com/spec/v1
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size 327674773
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