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-0
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# rel-cl-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: 3.8699

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2382        | 0.03  | 76319   | 4.2042          |
| 4.0307        | 0.03  | 152638  | 4.0327          |
| 3.9222        | 0.03  | 228957  | 3.9574          |
| 3.8527        | 0.03  | 305276  | 3.9168          |
| 3.801         | 0.03  | 381595  | 3.8918          |
| 3.7541        | 0.03  | 457914  | 3.8757          |
| 3.7221        | 0.03  | 534233  | 3.8658          |
| 3.6957        | 0.03  | 610552  | 3.8590          |
| 3.6667        | 0.03  | 686871  | 3.8554          |
| 3.6453        | 1.03  | 763190  | 3.8523          |
| 3.6192        | 0.03  | 839510  | 3.8462          |
| 3.5982        | 1.03  | 915830  | 3.8452          |
| 3.5776        | 0.03  | 992150  | 3.8462          |
| 3.5578        | 1.03  | 1068470 | 3.8471          |
| 3.5435        | 0.03  | 1144790 | 3.8483          |
| 3.5315        | 0.03  | 1221110 | 3.8497          |
| 3.5166        | 1.03  | 1297430 | 3.8510          |
| 3.503         | 0.03  | 1373750 | 3.8521          |
| 3.4887        | 1.03  | 1450070 | 3.8523          |
| 3.48          | 0.03  | 1526390 | 3.8554          |
| 3.4708        | 1.03  | 1602710 | 3.8568          |
| 3.4599        | 0.03  | 1679030 | 3.8580          |
| 3.4537        | 1.03  | 1755350 | 3.8606          |
| 3.4405        | 0.03  | 1831670 | 3.8623          |
| 3.4267        | 1.03  | 1907990 | 3.8639          |
| 3.4123        | 0.03  | 1984310 | 3.8648          |
| 3.4003        | 1.03  | 2060630 | 3.8659          |
| 3.3919        | 0.03  | 2136950 | 3.8671          |
| 3.3794        | 1.03  | 2213270 | 3.8681          |
| 3.3664        | 0.03  | 2289590 | 3.8695          |
| 3.3621        | 1.03  | 2365910 | 3.8696          |
| 3.3539        | 0.03  | 2442230 | 3.8706          |
| 3.3443        | 1.03  | 2518550 | 3.8709          |
| 3.3337        | 0.03  | 2594870 | 3.8724          |
| 3.3238        | 0.03  | 2671190 | 3.8724          |
| 3.3164        | 0.03  | 2747510 | 3.8723          |
| 3.3113        | 1.03  | 2823830 | 3.8722          |
| 3.3057        | 0.03  | 2900150 | 3.8716          |
| 3.303         | 1.03  | 2976470 | 3.8705          |
| 3.2925        | 0.02  | 3052726 | 3.8699          |


### Framework versions

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