transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: full-transformer-3
  results: []
---

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# full-transformer-3

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: 3.8587

## 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: 32
- eval_batch_size: 32
- seed: 3
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 3052726

### Training results

| Training Loss | Epoch | Step    | Validation Loss |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2233        | 0.03  | 76319   | 4.1904          |
| 4.0164        | 0.03  | 152638  | 4.0214          |
| 3.9108        | 0.03  | 228957  | 3.9470          |
| 3.8387        | 0.03  | 305276  | 3.9060          |
| 3.7867        | 0.03  | 381595  | 3.8814          |
| 3.7413        | 0.03  | 457914  | 3.8656          |
| 3.7107        | 0.03  | 534233  | 3.8556          |
| 3.6837        | 0.03  | 610552  | 3.8487          |
| 3.6531        | 0.03  | 686871  | 3.8448          |
| 3.6291        | 0.03  | 763190  | 3.8420          |
| 3.6101        | 1.03  | 839509  | 3.8409          |
| 3.5963        | 0.03  | 915829  | 3.8363          |
| 3.5791        | 1.03  | 992149  | 3.8367          |
| 3.5582        | 0.03  | 1068469 | 3.8382          |
| 3.5416        | 1.03  | 1144789 | 3.8380          |
| 3.5288        | 0.03  | 1221109 | 3.8402          |
| 3.5067        | 1.03  | 1297429 | 3.8410          |
| 3.4946        | 0.03  | 1373749 | 3.8431          |
| 3.4805        | 0.03  | 1450069 | 3.8431          |
| 3.4665        | 1.03  | 1526389 | 3.8470          |
| 3.4615        | 0.03  | 1602709 | 3.8478          |
| 3.4538        | 1.03  | 1679029 | 3.8471          |
| 3.448         | 0.03  | 1755349 | 3.8479          |
| 3.4378        | 1.03  | 1831669 | 3.8503          |
| 3.4252        | 0.03  | 1907989 | 3.8518          |
| 3.4161        | 1.03  | 1984309 | 3.8544          |
| 3.4041        | 0.03  | 2060629 | 3.8546          |
| 3.3914        | 0.03  | 2136949 | 3.8557          |
| 3.3834        | 1.03  | 2213269 | 3.8566          |
| 3.3716        | 0.03  | 2289589 | 3.8571          |
| 3.3606        | 0.03  | 2365909 | 3.8585          |
| 3.3526        | 0.03  | 2442229 | 3.8595          |
| 3.3358        | 0.03  | 2518549 | 3.8594          |
| 3.327         | 0.03  | 2594869 | 3.8601          |
| 3.3165        | 0.03  | 2671189 | 3.8611          |
| 3.3069        | 0.03  | 2747509 | 3.8615          |
| 3.3062        | 1.03  | 2823829 | 3.8609          |
| 3.2995        | 0.03  | 2900149 | 3.8612          |
| 3.2968        | 1.03  | 2976469 | 3.8606          |
| 3.2924        | 0.02  | 3052726 | 3.8587          |


### Framework versions

- Transformers 4.33.3
- Pytorch 2.0.1
- Datasets 2.12.0
- Tokenizers 0.13.3
