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: []
---

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# 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: 0.7518

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.392         | 1.0   | 6    | 2.7421          |
| 2.3678        | 2.0   | 12   | 1.9842          |
| 1.8103        | 3.0   | 18   | 1.6702          |
| 1.6444        | 4.0   | 24   | 1.5900          |
| 1.5998        | 5.0   | 30   | 1.5549          |
| 1.6759        | 6.0   | 36   | 1.5762          |
| 1.5344        | 7.0   | 42   | 1.5907          |
| 1.5276        | 8.0   | 48   | 1.5784          |
| 1.5187        | 9.0   | 54   | 1.5224          |
| 1.5007        | 10.0  | 60   | 1.4601          |
| 1.4285        | 11.0  | 66   | 1.4192          |
| 1.3919        | 12.0  | 72   | 1.3792          |
| 1.3663        | 13.0  | 78   | 1.3728          |
| 1.3035        | 14.0  | 84   | 1.2453          |
| 1.2542        | 15.0  | 90   | 1.2191          |
| 1.2343        | 16.0  | 96   | 1.1600          |
| 1.1959        | 17.0  | 102  | 1.1465          |
| 1.1617        | 18.0  | 108  | 1.0958          |
| 1.1189        | 19.0  | 114  | 1.0729          |
| 1.1026        | 20.0  | 120  | 1.1611          |
| 1.1227        | 21.0  | 126  | 1.0368          |
| 1.0386        | 22.0  | 132  | 1.0107          |
| 0.9962        | 23.0  | 138  | 0.9677          |
| 0.9762        | 24.0  | 144  | 0.9360          |
| 0.9474        | 25.0  | 150  | 0.9168          |
| 0.9317        | 26.0  | 156  | 0.9569          |
| 0.9156        | 27.0  | 162  | 0.9376          |
| 0.9061        | 28.0  | 168  | 0.9363          |
| 0.9147        | 29.0  | 174  | 0.9067          |
| 0.9141        | 30.0  | 180  | 0.8845          |
| 0.8753        | 31.0  | 186  | 0.8666          |
| 0.8572        | 32.0  | 192  | 0.8369          |
| 0.848         | 33.0  | 198  | 0.8324          |
| 0.8231        | 34.0  | 204  | 0.7965          |
| 0.8167        | 35.0  | 210  | 0.7844          |
| 0.8004        | 36.0  | 216  | 0.7741          |
| 0.7786        | 37.0  | 222  | 0.7700          |
| 0.8023        | 38.0  | 228  | 0.7571          |
| 0.7799        | 39.0  | 234  | 0.7593          |
| 0.7947        | 40.0  | 240  | 0.7518          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
