---
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
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# 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