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# nystromformer-4096-medqa-usmle-MiniLM-IR-cs

This model is a fine-tuned version of [GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs](https://huggingface.co/GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8436
- Accuracy: 0.2812

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 128
- 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 | Accuracy | Validation Loss |
|:-------------:|:-----:|:----:|:--------:|:---------------:|
| No log        | 0.99  | 79   | 0.2372   | 1.3863          |
| No log        | 1.99  | 158  | 0.2655   | 1.3861          |
| No log        | 2.99  | 237  | 0.2545   | 1.3859          |
| No log        | 3.99  | 316  | 0.2765   | 1.3837          |
| No log        | 4.99  | 395  | 0.2820   | 1.3876          |
| No log        | 5.99  | 474  | 1.3819   | 0.2639          |
| 1.3342        | 6.99  | 553  | 1.4875   | 0.2694          |
| 1.3342        | 7.99  | 632  | 1.6126   | 0.2718          |
| 1.3342        | 8.99  | 711  | 1.7637   | 0.2804          |
| 1.3342        | 9.99  | 790  | 1.8436   | 0.2812          |


### Framework versions

- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "nystromformer-4096-medqa-usmle-MiniLM-IR-cs", "results": []}]}
transformers pytorch tensorboard nystromformer multiple-choice generated_from_trainer endpoints_compatible has_space region:us
TAGS
#transformers #pytorch #tensorboard #nystromformer #multiple-choice #generated_from_trainer #endpoints_compatible #has_space #region-us 

nystromformer-4096-medqa-usmle-MiniLM-IR-cs
===========================================


This model is a fine-tuned version of GBaker/nystromformer-4096-medqa-usmle-MiniLM-IR-cs on the None dataset.
It achieves the following results on the evaluation set:


* Loss: 1.8436
* Accuracy: 0.2812


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: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 32
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10


### Training results



### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2



### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 32
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #nystromformer #multiple-choice #generated_from_trainer #endpoints_compatible #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 32
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10 ### Training results ### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2
TAGS
#transformers #pytorch #tensorboard #nystromformer #multiple-choice #generated_from_trainer #endpoints_compatible #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:


* learning\_rate: 5e-05
* train\_batch\_size: 4
* eval\_batch\_size: 4
* seed: 42
* gradient\_accumulation\_steps: 32
* total\_train\_batch\_size: 128
* optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
* lr\_scheduler\_type: linear
* num\_epochs: 10### Training results### Framework versions


* Transformers 4.26.1
* Pytorch 1.13.1+cu116
* Datasets 2.9.0
* Tokenizers 0.13.2