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-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. -->

# full-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: 3.8633

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2293        | 0.03  | 76319   | 4.1958          |
| 4.0241        | 0.03  | 152638  | 4.0255          |
| 3.9167        | 0.03  | 228957  | 3.9510          |
| 3.8423        | 0.03  | 305276  | 3.9094          |
| 3.79          | 0.03  | 381595  | 3.8845          |
| 3.7451        | 0.03  | 457914  | 3.8687          |
| 3.7143        | 0.03  | 534233  | 3.8576          |
| 3.6846        | 0.03  | 610552  | 3.8510          |
| 3.6544        | 0.03  | 686871  | 3.8464          |
| 3.6297        | 1.03  | 763190  | 3.8441          |
| 3.6212        | 0.03  | 839510  | 3.8373          |
| 3.5951        | 1.03  | 915830  | 3.8372          |
| 3.5801        | 0.03  | 992150  | 3.8371          |
| 3.5587        | 1.03  | 1068470 | 3.8380          |
| 3.541         | 0.03  | 1144790 | 3.8388          |
| 3.5279        | 0.03  | 1221110 | 3.8406          |
| 3.5065        | 0.03  | 1297430 | 3.8408          |
| 3.4926        | 1.03  | 1373750 | 3.8426          |
| 3.4816        | 0.03  | 1450070 | 3.8444          |
| 3.4687        | 1.03  | 1526390 | 3.8461          |
| 3.4613        | 0.03  | 1602710 | 3.8466          |
| 3.4541        | 1.03  | 1679030 | 3.8492          |
| 3.4461        | 0.03  | 1755350 | 3.8516          |
| 3.4383        | 1.03  | 1831670 | 3.8521          |
| 3.4247        | 0.03  | 1907990 | 3.8537          |
| 3.4145        | 1.03  | 1984310 | 3.8540          |
| 3.4033        | 0.03  | 2060630 | 3.8561          |
| 3.3879        | 0.03  | 2136950 | 3.8585          |
| 3.3817        | 1.03  | 2213270 | 3.8583          |
| 3.3676        | 0.03  | 2289590 | 3.8602          |
| 3.357         | 1.03  | 2365910 | 3.8611          |
| 3.3479        | 0.03  | 2442230 | 3.8625          |
| 3.3342        | 0.03  | 2518550 | 3.8638          |
| 3.3243        | 0.03  | 2594870 | 3.8639          |
| 3.3153        | 0.03  | 2671190 | 3.8642          |
| 3.3042        | 1.03  | 2747510 | 3.8649          |
| 3.3014        | 0.03  | 2823830 | 3.8649          |
| 3.2975        | 0.03  | 2900150 | 3.8650          |
| 3.2925        | 0.03  | 2976470 | 3.8643          |
| 3.2897        | 0.02  | 3052726 | 3.8633          |


### Framework versions

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