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---
base_model: kumarme072/med_model_1
tags:
- generated_from_trainer
model-index:
- name: model_med_195_E
results: []
---
<!-- 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. -->
# model_med_195_E
This model is a fine-tuned version of [kumarme072/med_model_1](https://huggingface.co/kumarme072/med_model_1) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.3613
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1689 | 1.0 | 109 | 4.8744 |
| 4.9643 | 2.0 | 218 | 4.8066 |
| 4.9906 | 3.0 | 327 | 4.7453 |
| 4.8863 | 4.0 | 436 | 4.6879 |
| 4.9099 | 5.0 | 545 | 4.6287 |
| 4.8006 | 6.0 | 654 | 4.5485 |
| 4.6872 | 7.0 | 763 | 4.4754 |
| 4.6197 | 8.0 | 872 | 4.4153 |
| 4.6041 | 9.0 | 981 | 4.3753 |
| 4.5845 | 10.0 | 1090 | 4.3613 |
### Framework versions
- Transformers 4.39.0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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