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-2
  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-2

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: 3.8584

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.22          | 0.03  | 76320   | 4.1907          |
| 4.0167        | 1.03  | 152640  | 4.0230          |
| 3.9066        | 0.03  | 228960  | 3.9490          |
| 3.8414        | 1.03  | 305280  | 3.9087          |
| 3.7903        | 0.03  | 381600  | 3.8839          |
| 3.7508        | 1.03  | 457920  | 3.8681          |
| 3.7209        | 0.03  | 534240  | 3.8568          |
| 3.6915        | 1.03  | 610560  | 3.8505          |
| 3.6633        | 0.03  | 686880  | 3.8461          |
| 3.637         | 1.03  | 763200  | 3.8436          |
| 3.6162        | 0.03  | 839520  | 3.8419          |
| 3.5939        | 1.03  | 915840  | 3.8410          |
| 3.5798        | 0.03  | 992160  | 3.8408          |
| 3.5601        | 1.03  | 1068480 | 3.8400          |
| 3.5423        | 0.03  | 1144800 | 3.8404          |
| 3.5269        | 1.03  | 1221120 | 3.8419          |
| 3.5095        | 0.03  | 1297440 | 3.8427          |
| 3.4963        | 0.03  | 1373760 | 3.8442          |
| 3.4819        | 1.03  | 1450080 | 3.8454          |
| 3.4756        | 0.03  | 1526400 | 3.8473          |
| 3.464         | 1.03  | 1602720 | 3.8481          |
| 3.4565        | 0.03  | 1679040 | 3.8492          |
| 3.4517        | 1.03  | 1755360 | 3.8505          |
| 3.442         | 0.03  | 1831680 | 3.8521          |
| 3.4276        | 1.03  | 1908000 | 3.8537          |
| 3.4171        | 0.03  | 1984320 | 3.8547          |
| 3.405         | 1.03  | 2060640 | 3.8551          |
| 3.3944        | 0.03  | 2136960 | 3.8572          |
| 3.3867        | 1.03  | 2213280 | 3.8572          |
| 3.3758        | 0.03  | 2289600 | 3.8585          |
| 3.3616        | 1.03  | 2365920 | 3.8600          |
| 3.3521        | 0.03  | 2442240 | 3.8597          |
| 3.3394        | 0.03  | 2518560 | 3.8603          |
| 3.331         | 1.03  | 2594880 | 3.8607          |
| 3.3193        | 0.03  | 2671200 | 3.8603          |
| 3.316         | 0.03  | 2747520 | 3.8615          |
| 3.308         | 1.03  | 2823840 | 3.8602          |
| 3.3024        | 0.03  | 2900160 | 3.8606          |
| 3.3017        | 0.03  | 2976480 | 3.8594          |
| 3.296         | 1.02  | 3052726 | 3.8584          |


### Framework versions

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