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-3
  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-3

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: 3.8743

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2434        | 0.03  | 76319   | 4.2060          |
| 4.0345        | 0.03  | 152638  | 4.0340          |
| 3.9248        | 0.03  | 228957  | 3.9585          |
| 3.8562        | 0.03  | 305276  | 3.9172          |
| 3.8037        | 0.03  | 381595  | 3.8908          |
| 3.7556        | 0.03  | 457914  | 3.8749          |
| 3.7229        | 0.03  | 534233  | 3.8649          |
| 3.6965        | 0.03  | 610552  | 3.8577          |
| 3.6655        | 0.03  | 686871  | 3.8533          |
| 3.6443        | 1.03  | 763190  | 3.8509          |
| 3.6177        | 0.03  | 839510  | 3.8456          |
| 3.5968        | 1.03  | 915830  | 3.8454          |
| 3.5746        | 0.03  | 992150  | 3.8458          |
| 3.5558        | 1.03  | 1068470 | 3.8476          |
| 3.5439        | 0.03  | 1144790 | 3.8481          |
| 3.5306        | 1.03  | 1221110 | 3.8491          |
| 3.5166        | 0.03  | 1297430 | 3.8516          |
| 3.5037        | 1.03  | 1373750 | 3.8530          |
| 3.4876        | 0.03  | 1450070 | 3.8545          |
| 3.478         | 1.03  | 1526390 | 3.8568          |
| 3.4703        | 0.03  | 1602710 | 3.8579          |
| 3.4583        | 0.03  | 1679030 | 3.8600          |
| 3.4502        | 1.03  | 1755350 | 3.8622          |
| 3.4371        | 0.03  | 1831670 | 3.8640          |
| 3.4242        | 1.03  | 1907990 | 3.8663          |
| 3.4095        | 0.03  | 1984310 | 3.8678          |
| 3.3975        | 1.03  | 2060630 | 3.8689          |
| 3.3887        | 0.03  | 2136950 | 3.8701          |
| 3.3749        | 1.03  | 2213270 | 3.8710          |
| 3.3623        | 0.03  | 2289590 | 3.8732          |
| 3.3578        | 1.03  | 2365910 | 3.8741          |
| 3.3495        | 0.03  | 2442230 | 3.8750          |
| 3.3397        | 0.03  | 2518550 | 3.8754          |
| 3.3315        | 1.03  | 2594870 | 3.8756          |
| 3.3207        | 0.03  | 2671190 | 3.8764          |
| 3.3143        | 1.03  | 2747510 | 3.8766          |
| 3.3059        | 0.03  | 2823830 | 3.8768          |
| 3.3018        | 1.03  | 2900150 | 3.8763          |
| 3.2951        | 0.03  | 2976470 | 3.8753          |
| 3.2884        | 1.02  | 3052726 | 3.8743          |


### Framework versions

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