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-2
  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-2

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: 3.8732

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2351        | 0.03  | 76320   | 4.2024          |
| 4.0288        | 1.03  | 152640  | 4.0335          |
| 3.9259        | 0.03  | 228960  | 3.9588          |
| 3.8543        | 1.03  | 305280  | 3.9178          |
| 3.804         | 0.03  | 381600  | 3.8922          |
| 3.7641        | 1.03  | 457920  | 3.8757          |
| 3.7273        | 0.03  | 534240  | 3.8649          |
| 3.6967        | 1.03  | 610560  | 3.8587          |
| 3.6658        | 0.03  | 686880  | 3.8543          |
| 3.6407        | 1.03  | 763200  | 3.8511          |
| 3.614         | 0.03  | 839520  | 3.8498          |
| 3.5939        | 1.03  | 915840  | 3.8499          |
| 3.5759        | 0.03  | 992160  | 3.8488          |
| 3.5578        | 1.03  | 1068480 | 3.8506          |
| 3.5451        | 0.03  | 1144800 | 3.8510          |
| 3.534         | 1.03  | 1221120 | 3.8518          |
| 3.5188        | 0.03  | 1297440 | 3.8544          |
| 3.5058        | 1.03  | 1373760 | 3.8540          |
| 3.4925        | 0.03  | 1450080 | 3.8565          |
| 3.4832        | 1.03  | 1526400 | 3.8572          |
| 3.4735        | 0.03  | 1602720 | 3.8599          |
| 3.4643        | 1.03  | 1679040 | 3.8618          |
| 3.4536        | 0.03  | 1755360 | 3.8628          |
| 3.4408        | 1.03  | 1831680 | 3.8638          |
| 3.4261        | 0.03  | 1908000 | 3.8659          |
| 3.4152        | 1.03  | 1984320 | 3.8671          |
| 3.4012        | 0.03  | 2060640 | 3.8685          |
| 3.3916        | 0.03  | 2136960 | 3.8690          |
| 3.3778        | 1.03  | 2213280 | 3.8713          |
| 3.3672        | 0.03  | 2289600 | 3.8723          |
| 3.3592        | 1.03  | 2365920 | 3.8732          |
| 3.3547        | 0.03  | 2442240 | 3.8739          |
| 3.3438        | 1.03  | 2518560 | 3.8749          |
| 3.335         | 0.03  | 2594880 | 3.8767          |
| 3.3251        | 1.03  | 2671200 | 3.8758          |
| 3.3196        | 0.03  | 2747520 | 3.8764          |
| 3.3133        | 1.03  | 2823840 | 3.8760          |
| 3.3082        | 0.03  | 2900160 | 3.8752          |
| 3.299         | 0.03  | 2976480 | 3.8748          |
| 3.2919        | 1.02  | 3052726 | 3.8732          |


### Framework versions

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