| | ---
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| | base_model: kumarme072/med_model_1
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| | tags:
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| | - generated_from_trainer
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| | model-index:
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| | - name: model_med_195_E
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| | results: []
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| | ---
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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
|
| | should probably proofread and complete it, then remove this comment. -->
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| |
|
| | # model_med_195_E
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| |
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| | This model is a fine-tuned version of [kumarme072/med_model_1](https://huggingface.co/kumarme072/med_model_1) on an unknown dataset.
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| | It achieves the following results on the evaluation set:
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| | - Loss: 4.3613
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| |
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| | ## Model description
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| |
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| | More information needed
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| |
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| | ## Intended uses & limitations
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| |
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| | More information needed
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| |
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| | ## Training and evaluation data
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| |
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| | More information needed
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| |
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| | ## Training procedure
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| |
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| | ### Training hyperparameters
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| |
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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: 8
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| | - eval_batch_size: 8
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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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| |
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| | ### Training results
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| |
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| | | Training Loss | Epoch | Step | Validation Loss |
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| | |:-------------:|:-----:|:----:|:---------------:|
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| | | 5.1689 | 1.0 | 109 | 4.8744 |
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| | | 4.9643 | 2.0 | 218 | 4.8066 |
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| | | 4.9906 | 3.0 | 327 | 4.7453 |
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| | | 4.8863 | 4.0 | 436 | 4.6879 |
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| | | 4.9099 | 5.0 | 545 | 4.6287 |
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| | | 4.8006 | 6.0 | 654 | 4.5485 |
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| | | 4.6872 | 7.0 | 763 | 4.4754 |
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| | | 4.6197 | 8.0 | 872 | 4.4153 |
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| | | 4.6041 | 9.0 | 981 | 4.3753 |
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| | | 4.5845 | 10.0 | 1090 | 4.3613 |
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| |
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| |
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| | ### Framework versions
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| |
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| | - Transformers 4.39.0
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| | - Pytorch 2.2.1
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| | - Datasets 2.18.0
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| | - Tokenizers 0.15.2
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| | |
