transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-transformer-4
  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. -->

# full2-transformer-4

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: 3.8620

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2223        | 0.03  | 76320   | 4.1935          |
| 4.0184        | 1.03  | 152640  | 4.0257          |
| 3.9091        | 0.03  | 228960  | 3.9515          |
| 3.845         | 1.03  | 305280  | 3.9101          |
| 3.7943        | 0.03  | 381600  | 3.8851          |
| 3.7537        | 0.03  | 457920  | 3.8688          |
| 3.7243        | 1.03  | 534240  | 3.8585          |
| 3.6946        | 0.03  | 610560  | 3.8522          |
| 3.6634        | 1.03  | 686880  | 3.8472          |
| 3.6406        | 0.03  | 763200  | 3.8446          |
| 3.6184        | 1.03  | 839520  | 3.8431          |
| 3.5959        | 0.03  | 915840  | 3.8432          |
| 3.5817        | 1.03  | 992160  | 3.8423          |
| 3.5621        | 0.03  | 1068480 | 3.8429          |
| 3.5438        | 1.03  | 1144800 | 3.8439          |
| 3.5273        | 0.03  | 1221120 | 3.8440          |
| 3.5096        | 1.03  | 1297440 | 3.8458          |
| 3.4966        | 0.03  | 1373760 | 3.8464          |
| 3.4822        | 1.03  | 1450080 | 3.8478          |
| 3.4746        | 0.03  | 1526400 | 3.8491          |
| 3.4649        | 1.03  | 1602720 | 3.8508          |
| 3.4573        | 0.03  | 1679040 | 3.8530          |
| 3.4517        | 1.03  | 1755360 | 3.8537          |
| 3.4416        | 0.03  | 1831680 | 3.8544          |
| 3.4297        | 1.03  | 1908000 | 3.8557          |
| 3.4193        | 0.03  | 1984320 | 3.8570          |
| 3.4087        | 1.03  | 2060640 | 3.8579          |
| 3.3961        | 0.03  | 2136960 | 3.8595          |
| 3.3885        | 1.03  | 2213280 | 3.8609          |
| 3.3768        | 0.03  | 2289600 | 3.8616          |
| 3.3645        | 1.03  | 2365920 | 3.8617          |
| 3.3515        | 0.03  | 2442240 | 3.8626          |
| 3.337         | 0.03  | 2518560 | 3.8631          |
| 3.3292        | 0.03  | 2594880 | 3.8627          |
| 3.3153        | 1.03  | 2671200 | 3.8646          |
| 3.3131        | 0.03  | 2747520 | 3.8646          |
| 3.3088        | 0.03  | 2823840 | 3.8638          |
| 3.3024        | 1.03  | 2900160 | 3.8636          |
| 3.3024        | 0.03  | 2976480 | 3.8629          |
| 3.2966        | 0.02  | 3052726 | 3.8620          |


### Framework versions

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