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-2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# full-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: 3.8632

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2266        | 0.03  | 76319   | 4.1944          |
| 4.0224        | 0.03  | 152638  | 4.0245          |
| 3.9145        | 0.03  | 228957  | 3.9506          |
| 3.84          | 0.03  | 305276  | 3.9094          |
| 3.789         | 0.03  | 381595  | 3.8845          |
| 3.7449        | 0.03  | 457914  | 3.8676          |
| 3.7126        | 0.03  | 534233  | 3.8570          |
| 3.6841        | 0.03  | 610552  | 3.8508          |
| 3.6541        | 0.03  | 686871  | 3.8470          |
| 3.631         | 1.03  | 763190  | 3.8435          |
| 3.619         | 0.03  | 839510  | 3.8375          |
| 3.5952        | 1.03  | 915830  | 3.8386          |
| 3.5789        | 0.03  | 992150  | 3.8388          |
| 3.557         | 1.03  | 1068470 | 3.8406          |
| 3.5414        | 0.03  | 1144790 | 3.8415          |
| 3.527         | 1.03  | 1221110 | 3.8423          |
| 3.5077        | 0.03  | 1297430 | 3.8434          |
| 3.4936        | 1.03  | 1373750 | 3.8451          |
| 3.4789        | 0.03  | 1450070 | 3.8475          |
| 3.4682        | 1.03  | 1526390 | 3.8490          |
| 3.4615        | 0.03  | 1602710 | 3.8520          |
| 3.4517        | 1.03  | 1679030 | 3.8528          |
| 3.4472        | 0.03  | 1755350 | 3.8531          |
| 3.4383        | 1.03  | 1831670 | 3.8562          |
| 3.4256        | 0.03  | 1907990 | 3.8566          |
| 3.4158        | 1.03  | 1984310 | 3.8574          |
| 3.4034        | 0.03  | 2060630 | 3.8590          |
| 3.3896        | 1.03  | 2136950 | 3.8613          |
| 3.3825        | 0.03  | 2213270 | 3.8611          |
| 3.3691        | 0.03  | 2289590 | 3.8624          |
| 3.3573        | 1.03  | 2365910 | 3.8634          |
| 3.3492        | 0.03  | 2442230 | 3.8649          |
| 3.3354        | 0.03  | 2518550 | 3.8658          |
| 3.3233        | 0.03  | 2594870 | 3.8659          |
| 3.3155        | 0.03  | 2671190 | 3.8670          |
| 3.3062        | 1.03  | 2747510 | 3.8663          |
| 3.3026        | 0.03  | 2823830 | 3.8661          |
| 3.2978        | 1.03  | 2900150 | 3.8658          |
| 3.2947        | 0.03  | 2976470 | 3.8644          |
| 3.2906        | 1.02  | 3052726 | 3.8632          |


### Framework versions

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