akhileshav8
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End of training
Browse files
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-3
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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-3
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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: 0.6371
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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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| 1.4394 | 1.0 | 925 | 0.8613 |
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| 0.8897 | 2.0 | 1850 | 0.7525 |
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| 0.7971 | 3.0 | 2775 | 0.7043 |
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| 0.7505 | 4.0 | 3700 | 0.6795 |
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| 0.7253 | 5.0 | 4625 | 0.6628 |
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| 0.7079 | 6.0 | 5550 | 0.6519 |
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| 0.6999 | 7.0 | 6475 | 0.6450 |
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| 0.692 | 8.0 | 7400 | 0.6404 |
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| 0.6859 | 9.0 | 8325 | 0.6379 |
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| 0.6821 | 10.0 | 9250 | 0.6371 |
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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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runs/Apr03_09-28-58_067073cdbbe7/events.out.tfevents.1712136542.067073cdbbe7.464.0
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size
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size 11778
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