akhileshav8
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End of training
Browse files- README.md +66 -0
- generation_config.json +6 -0
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: symptom-check-april-8
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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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# symptom-check-april-8
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This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.1690
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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: 64
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- eval_batch_size: 64
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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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| 2.6017 | 1.0 | 1585 | 2.4486 |
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| 2.4508 | 2.0 | 3170 | 2.3348 |
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| 2.3795 | 3.0 | 4755 | 2.2760 |
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| 2.3217 | 4.0 | 6340 | 2.2409 |
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| 2.2964 | 5.0 | 7925 | 2.2146 |
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| 2.2628 | 6.0 | 9510 | 2.1968 |
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| 2.247 | 7.0 | 11095 | 2.1850 |
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| 2.2319 | 8.0 | 12680 | 2.1756 |
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| 2.2233 | 9.0 | 14265 | 2.1708 |
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| 2.2061 | 10.0 | 15850 | 2.1690 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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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": "4.38.2"
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}
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