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-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-cl2-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: 3.8752

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.238         | 0.03  | 76320   | 4.2068          |
| 4.0326        | 1.03  | 152640  | 4.0352          |
| 3.9254        | 0.03  | 228960  | 3.9594          |
| 3.8541        | 1.03  | 305280  | 3.9177          |
| 3.8051        | 0.03  | 381600  | 3.8928          |
| 3.7636        | 0.03  | 457920  | 3.8770          |
| 3.7283        | 1.03  | 534240  | 3.8664          |
| 3.6974        | 0.03  | 610560  | 3.8598          |
| 3.6665        | 1.03  | 686880  | 3.8546          |
| 3.6435        | 0.03  | 763200  | 3.8530          |
| 3.6178        | 1.03  | 839520  | 3.8508          |
| 3.5986        | 0.03  | 915840  | 3.8514          |
| 3.5791        | 1.03  | 992160  | 3.8509          |
| 3.5621        | 0.03  | 1068480 | 3.8518          |
| 3.5498        | 1.03  | 1144800 | 3.8527          |
| 3.5345        | 0.03  | 1221120 | 3.8540          |
| 3.5205        | 1.03  | 1297440 | 3.8551          |
| 3.5063        | 0.03  | 1373760 | 3.8565          |
| 3.4944        | 1.03  | 1450080 | 3.8590          |
| 3.4828        | 0.03  | 1526400 | 3.8615          |
| 3.4734        | 0.03  | 1602720 | 3.8611          |
| 3.465         | 1.03  | 1679040 | 3.8627          |
| 3.4547        | 0.03  | 1755360 | 3.8664          |
| 3.4431        | 1.03  | 1831680 | 3.8674          |
| 3.4279        | 0.03  | 1908000 | 3.8686          |
| 3.4188        | 1.03  | 1984320 | 3.8693          |
| 3.4056        | 0.03  | 2060640 | 3.8711          |
| 3.3942        | 1.03  | 2136960 | 3.8723          |
| 3.3836        | 0.03  | 2213280 | 3.8747          |
| 3.3698        | 1.03  | 2289600 | 3.8753          |
| 3.3635        | 0.03  | 2365920 | 3.8765          |
| 3.3565        | 1.03  | 2442240 | 3.8772          |
| 3.347         | 0.03  | 2518560 | 3.8770          |
| 3.3347        | 1.03  | 2594880 | 3.8784          |
| 3.3296        | 0.03  | 2671200 | 3.8782          |
| 3.3223        | 0.03  | 2747520 | 3.8780          |
| 3.3144        | 1.03  | 2823840 | 3.8785          |
| 3.3108        | 0.03  | 2900160 | 3.8772          |
| 3.3033        | 1.03  | 2976480 | 3.8761          |
| 3.2948        | 0.02  | 3052726 | 3.8752          |


### Framework versions

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