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-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-cl2-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: 3.8695

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2329        | 0.03  | 76320   | 4.2009          |
| 4.0289        | 1.03  | 152640  | 4.0307          |
| 3.9231        | 0.03  | 228960  | 3.9576          |
| 3.8535        | 1.03  | 305280  | 3.9171          |
| 3.804         | 0.03  | 381600  | 3.8918          |
| 3.7641        | 1.03  | 457920  | 3.8763          |
| 3.7275        | 0.03  | 534240  | 3.8658          |
| 3.696         | 0.03  | 610560  | 3.8590          |
| 3.6663        | 1.03  | 686880  | 3.8544          |
| 3.6421        | 0.03  | 763200  | 3.8515          |
| 3.6169        | 1.03  | 839520  | 3.8503          |
| 3.5968        | 0.03  | 915840  | 3.8493          |
| 3.5769        | 1.03  | 992160  | 3.8496          |
| 3.558         | 0.03  | 1068480 | 3.8508          |
| 3.547         | 1.03  | 1144800 | 3.8513          |
| 3.5347        | 0.03  | 1221120 | 3.8519          |
| 3.5203        | 0.03  | 1297440 | 3.8537          |
| 3.5052        | 1.03  | 1373760 | 3.8551          |
| 3.4959        | 0.03  | 1450080 | 3.8548          |
| 3.4838        | 0.03  | 1526400 | 3.8566          |
| 3.4748        | 1.03  | 1602720 | 3.8588          |
| 3.4668        | 0.03  | 1679040 | 3.8602          |
| 3.4557        | 1.03  | 1755360 | 3.8608          |
| 3.4437        | 0.03  | 1831680 | 3.8632          |
| 3.4302        | 1.03  | 1908000 | 3.8629          |
| 3.4168        | 0.03  | 1984320 | 3.8652          |
| 3.4053        | 1.03  | 2060640 | 3.8663          |
| 3.3953        | 0.03  | 2136960 | 3.8667          |
| 3.3831        | 1.03  | 2213280 | 3.8682          |
| 3.371         | 0.03  | 2289600 | 3.8691          |
| 3.3647        | 1.03  | 2365920 | 3.8695          |
| 3.3613        | 0.03  | 2442240 | 3.8700          |
| 3.3501        | 0.03  | 2518560 | 3.8709          |
| 3.3403        | 1.03  | 2594880 | 3.8718          |
| 3.3309        | 0.03  | 2671200 | 3.8718          |
| 3.3237        | 1.03  | 2747520 | 3.8718          |
| 3.3183        | 0.03  | 2823840 | 3.8718          |
| 3.3119        | 1.03  | 2900160 | 3.8714          |
| 3.3057        | 0.03  | 2976480 | 3.8705          |
| 3.2965        | 1.02  | 3052726 | 3.8695          |


### Framework versions

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