transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: rel-cl-transformer-1
  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. -->

# rel-cl-transformer-1

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: 3.8714

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.238         | 0.03  | 76319   | 4.2027          |
| 4.0312        | 0.03  | 152638  | 4.0325          |
| 3.9229        | 0.03  | 228957  | 3.9574          |
| 3.8541        | 0.03  | 305276  | 3.9160          |
| 3.8015        | 0.03  | 381595  | 3.8911          |
| 3.7558        | 0.03  | 457914  | 3.8752          |
| 3.7219        | 0.03  | 534233  | 3.8655          |
| 3.6946        | 0.03  | 610552  | 3.8579          |
| 3.6653        | 0.03  | 686871  | 3.8550          |
| 3.6444        | 1.03  | 763190  | 3.8526          |
| 3.6189        | 0.03  | 839510  | 3.8473          |
| 3.5975        | 1.03  | 915830  | 3.8459          |
| 3.5762        | 0.03  | 992150  | 3.8464          |
| 3.5575        | 1.03  | 1068470 | 3.8480          |
| 3.5455        | 0.03  | 1144790 | 3.8497          |
| 3.5318        | 0.03  | 1221110 | 3.8518          |
| 3.517         | 1.03  | 1297430 | 3.8527          |
| 3.5041        | 0.03  | 1373750 | 3.8547          |
| 3.4888        | 1.03  | 1450070 | 3.8556          |
| 3.4806        | 0.03  | 1526390 | 3.8578          |
| 3.4712        | 1.03  | 1602710 | 3.8586          |
| 3.4613        | 0.03  | 1679030 | 3.8606          |
| 3.4536        | 1.03  | 1755350 | 3.8624          |
| 3.4406        | 0.03  | 1831670 | 3.8640          |
| 3.4269        | 1.03  | 1907990 | 3.8642          |
| 3.4133        | 0.03  | 1984310 | 3.8660          |
| 3.4003        | 1.03  | 2060630 | 3.8680          |
| 3.3918        | 0.03  | 2136950 | 3.8685          |
| 3.3794        | 1.03  | 2213270 | 3.8700          |
| 3.3659        | 0.03  | 2289590 | 3.8717          |
| 3.3609        | 1.03  | 2365910 | 3.8721          |
| 3.3533        | 0.03  | 2442230 | 3.8733          |
| 3.3415        | 1.03  | 2518550 | 3.8731          |
| 3.3346        | 0.03  | 2594870 | 3.8746          |
| 3.3234        | 0.03  | 2671190 | 3.8746          |
| 3.3165        | 1.03  | 2747510 | 3.8744          |
| 3.3119        | 0.03  | 2823830 | 3.8745          |
| 3.3058        | 1.03  | 2900150 | 3.8741          |
| 3.2988        | 0.03  | 2976470 | 3.8729          |
| 3.2923        | 1.02  | 3052726 | 3.8714          |


### Framework versions

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