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-cl2-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. -->

# rel-cl2-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: 3.8723

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2396        | 0.03  | 76320   | 4.2054          |
| 4.0324        | 1.03  | 152640  | 4.0344          |
| 3.9268        | 0.03  | 228960  | 3.9612          |
| 3.858         | 1.03  | 305280  | 3.9191          |
| 3.8054        | 0.03  | 381600  | 3.8933          |
| 3.7659        | 1.03  | 457920  | 3.8774          |
| 3.7299        | 0.03  | 534240  | 3.8676          |
| 3.6983        | 1.03  | 610560  | 3.8601          |
| 3.6681        | 0.03  | 686880  | 3.8566          |
| 3.6432        | 1.03  | 763200  | 3.8536          |
| 3.6169        | 0.03  | 839520  | 3.8521          |
| 3.596         | 1.03  | 915840  | 3.8518          |
| 3.5764        | 0.03  | 992160  | 3.8511          |
| 3.5594        | 1.03  | 1068480 | 3.8525          |
| 3.5453        | 0.03  | 1144800 | 3.8519          |
| 3.5375        | 1.03  | 1221120 | 3.8525          |
| 3.5204        | 0.03  | 1297440 | 3.8539          |
| 3.5061        | 1.03  | 1373760 | 3.8566          |
| 3.494         | 0.03  | 1450080 | 3.8576          |
| 3.483         | 1.03  | 1526400 | 3.8582          |
| 3.4723        | 0.03  | 1602720 | 3.8598          |
| 3.4649        | 1.03  | 1679040 | 3.8618          |
| 3.4552        | 0.03  | 1755360 | 3.8638          |
| 3.4422        | 0.03  | 1831680 | 3.8636          |
| 3.4279        | 1.03  | 1908000 | 3.8664          |
| 3.4158        | 0.03  | 1984320 | 3.8670          |
| 3.4032        | 1.03  | 2060640 | 3.8694          |
| 3.392         | 0.03  | 2136960 | 3.8695          |
| 3.3802        | 1.03  | 2213280 | 3.8707          |
| 3.3686        | 0.03  | 2289600 | 3.8726          |
| 3.3611        | 1.03  | 2365920 | 3.8729          |
| 3.359         | 0.03  | 2442240 | 3.8727          |
| 3.3459        | 1.03  | 2518560 | 3.8743          |
| 3.3369        | 0.03  | 2594880 | 3.8742          |
| 3.328         | 0.03  | 2671200 | 3.8751          |
| 3.3197        | 1.03  | 2747520 | 3.8751          |
| 3.3156        | 0.03  | 2823840 | 3.8752          |
| 3.3092        | 1.03  | 2900160 | 3.8751          |
| 3.3014        | 0.03  | 2976480 | 3.8737          |
| 3.2948        | 1.02  | 3052726 | 3.8723          |


### Framework versions

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