transformers tensorboard safetensors encoder-decoder text2text-generation generated_from_trainer autotrain_compatible endpoints_compatible region:us
---
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test
  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. -->

# calculator_model_test

This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5921

## 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: 0.001
- train_batch_size: 512
- eval_batch_size: 512
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.462         | 1.0   | 5    | 2.8547          |
| 2.538         | 2.0   | 10   | 2.0897          |
| 1.9404        | 3.0   | 15   | 1.7253          |
| 1.7165        | 4.0   | 20   | 1.6144          |
| 1.6205        | 5.0   | 25   | 1.5616          |
| 1.5595        | 6.0   | 30   | 1.5343          |
| 1.533         | 7.0   | 35   | 1.5129          |
| 1.5116        | 8.0   | 40   | 1.4738          |
| 1.47          | 9.0   | 45   | 1.4300          |
| 1.4339        | 10.0  | 50   | 1.4170          |
| 1.4026        | 11.0  | 55   | 1.3703          |
| 1.3849        | 12.0  | 60   | 1.3283          |
| 1.3616        | 13.0  | 65   | 1.2966          |
| 1.3063        | 14.0  | 70   | 1.2537          |
| 1.2479        | 15.0  | 75   | 1.1862          |
| 1.1756        | 16.0  | 80   | 1.1101          |
| 1.1533        | 17.0  | 85   | 1.1242          |
| 1.1344        | 18.0  | 90   | 1.1090          |
| 1.0864        | 19.0  | 95   | 1.0031          |
| 1.0175        | 20.0  | 100  | 0.9584          |
| 0.9662        | 21.0  | 105  | 0.9226          |
| 0.9294        | 22.0  | 110  | 0.8753          |
| 0.8923        | 23.0  | 115  | 0.8596          |
| 0.8676        | 24.0  | 120  | 0.8074          |
| 0.8371        | 25.0  | 125  | 0.7753          |
| 0.8185        | 26.0  | 130  | 0.7829          |
| 0.8092        | 27.0  | 135  | 0.7452          |
| 0.7693        | 28.0  | 140  | 0.7231          |
| 0.7534        | 29.0  | 145  | 0.7025          |
| 0.7432        | 30.0  | 150  | 0.6977          |
| 0.7249        | 31.0  | 155  | 0.6820          |
| 0.7161        | 32.0  | 160  | 0.6609          |
| 0.703         | 33.0  | 165  | 0.6529          |
| 0.6926        | 34.0  | 170  | 0.6395          |
| 0.6771        | 35.0  | 175  | 0.6246          |
| 0.667         | 36.0  | 180  | 0.6204          |
| 0.6633        | 37.0  | 185  | 0.6057          |
| 0.6498        | 38.0  | 190  | 0.6014          |
| 0.642         | 39.0  | 195  | 0.5947          |
| 0.6433        | 40.0  | 200  | 0.5921          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
