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-0
  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-0

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: 3.8679

## 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: 0
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2377        | 0.03  | 76320   | 4.2029          |
| 4.0318        | 1.03  | 152640  | 4.0337          |
| 3.9251        | 0.03  | 228960  | 3.9583          |
| 3.8539        | 1.03  | 305280  | 3.9172          |
| 3.8033        | 0.03  | 381600  | 3.8931          |
| 3.7625        | 1.03  | 457920  | 3.8765          |
| 3.7264        | 0.03  | 534240  | 3.8653          |
| 3.6966        | 1.03  | 610560  | 3.8590          |
| 3.6669        | 0.03  | 686880  | 3.8557          |
| 3.6421        | 1.03  | 763200  | 3.8520          |
| 3.6162        | 0.03  | 839520  | 3.8502          |
| 3.5966        | 1.03  | 915840  | 3.8494          |
| 3.5791        | 0.03  | 992160  | 3.8483          |
| 3.5578        | 1.03  | 1068480 | 3.8498          |
| 3.5447        | 0.03  | 1144800 | 3.8502          |
| 3.5354        | 1.03  | 1221120 | 3.8513          |
| 3.5188        | 0.03  | 1297440 | 3.8529          |
| 3.5059        | 0.03  | 1373760 | 3.8541          |
| 3.4959        | 1.03  | 1450080 | 3.8552          |
| 3.482         | 0.03  | 1526400 | 3.8570          |
| 3.4744        | 0.03  | 1602720 | 3.8576          |
| 3.4665        | 0.03  | 1679040 | 3.8593          |
| 3.4556        | 0.03  | 1755360 | 3.8615          |
| 3.4438        | 0.03  | 1831680 | 3.8622          |
| 3.4297        | 1.03  | 1908000 | 3.8633          |
| 3.4185        | 0.03  | 1984320 | 3.8654          |
| 3.4036        | 1.03  | 2060640 | 3.8650          |
| 3.394         | 0.03  | 2136960 | 3.8670          |
| 3.3823        | 1.03  | 2213280 | 3.8687          |
| 3.37          | 0.03  | 2289600 | 3.8685          |
| 3.3629        | 1.03  | 2365920 | 3.8704          |
| 3.3583        | 0.03  | 2442240 | 3.8706          |
| 3.3462        | 1.03  | 2518560 | 3.8710          |
| 3.3349        | 0.03  | 2594880 | 3.8712          |
| 3.3282        | 1.03  | 2671200 | 3.8706          |
| 3.3211        | 0.03  | 2747520 | 3.8724          |
| 3.3168        | 1.03  | 2823840 | 3.8708          |
| 3.3123        | 0.03  | 2900160 | 3.8701          |
| 3.3045        | 0.03  | 2976480 | 3.8690          |
| 3.2964        | 0.02  | 3052726 | 3.8679          |


### Framework versions

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