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-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. -->

# rel-cl-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: 3.8701

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2371        | 0.03  | 76319   | 4.2004          |
| 4.0294        | 0.03  | 152638  | 4.0314          |
| 3.9211        | 0.03  | 228957  | 3.9574          |
| 3.8523        | 0.03  | 305276  | 3.9164          |
| 3.8001        | 0.03  | 381595  | 3.8913          |
| 3.7553        | 0.03  | 457914  | 3.8747          |
| 3.7228        | 0.03  | 534233  | 3.8648          |
| 3.6953        | 0.03  | 610552  | 3.8573          |
| 3.6645        | 0.03  | 686871  | 3.8537          |
| 3.6436        | 0.03  | 763190  | 3.8506          |
| 3.6231        | 1.03  | 839509  | 3.8503          |
| 3.5992        | 0.03  | 915829  | 3.8441          |
| 3.577         | 1.03  | 992149  | 3.8451          |
| 3.5583        | 0.03  | 1068469 | 3.8452          |
| 3.5441        | 1.03  | 1144789 | 3.8459          |
| 3.5334        | 0.03  | 1221109 | 3.8479          |
| 3.5167        | 1.03  | 1297429 | 3.8502          |
| 3.5026        | 0.03  | 1373749 | 3.8508          |
| 3.4876        | 1.03  | 1450069 | 3.8539          |
| 3.4805        | 0.03  | 1526389 | 3.8549          |
| 3.4714        | 1.03  | 1602709 | 3.8570          |
| 3.4625        | 0.03  | 1679029 | 3.8585          |
| 3.4532        | 1.03  | 1755349 | 3.8609          |
| 3.441         | 0.03  | 1831669 | 3.8635          |
| 3.4268        | 1.03  | 1907989 | 3.8636          |
| 3.4129        | 0.03  | 1984309 | 3.8653          |
| 3.4015        | 1.03  | 2060629 | 3.8678          |
| 3.3925        | 0.03  | 2136949 | 3.8691          |
| 3.3798        | 1.03  | 2213269 | 3.8692          |
| 3.3677        | 0.03  | 2289589 | 3.8705          |
| 3.3609        | 1.03  | 2365909 | 3.8714          |
| 3.3531        | 0.03  | 2442229 | 3.8720          |
| 3.3438        | 1.03  | 2518549 | 3.8738          |
| 3.3347        | 0.03  | 2594869 | 3.8732          |
| 3.3247        | 0.03  | 2671189 | 3.8724          |
| 3.3184        | 1.03  | 2747509 | 3.8731          |
| 3.3125        | 0.03  | 2823829 | 3.8732          |
| 3.304         | 1.03  | 2900149 | 3.8727          |
| 3.2998        | 0.03  | 2976469 | 3.8713          |
| 3.293         | 1.02  | 3052726 | 3.8701          |


### Framework versions

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