transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: det-noun-transformer-4
  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. -->

# det-noun-transformer-4

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: 3.8625

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2265        | 0.03  | 76320   | 4.1933          |
| 4.0211        | 1.03  | 152640  | 4.0256          |
| 3.9102        | 0.03  | 228960  | 3.9514          |
| 3.8417        | 1.03  | 305280  | 3.9101          |
| 3.7944        | 0.03  | 381600  | 3.8847          |
| 3.7534        | 1.03  | 457920  | 3.8693          |
| 3.7172        | 0.03  | 534240  | 3.8593          |
| 3.6857        | 1.03  | 610560  | 3.8514          |
| 3.6545        | 0.03  | 686880  | 3.8483          |
| 3.6314        | 1.03  | 763200  | 3.8455          |
| 3.6099        | 0.03  | 839520  | 3.8441          |
| 3.5885        | 1.03  | 915840  | 3.8427          |
| 3.5693        | 0.03  | 992160  | 3.8427          |
| 3.5474        | 1.03  | 1068480 | 3.8436          |
| 3.532         | 0.03  | 1144800 | 3.8443          |
| 3.5271        | 1.03  | 1221120 | 3.8454          |
| 3.5106        | 0.03  | 1297440 | 3.8458          |
| 3.4986        | 1.03  | 1373760 | 3.8474          |
| 3.4807        | 0.03  | 1450080 | 3.8499          |
| 3.4737        | 1.03  | 1526400 | 3.8510          |
| 3.4684        | 0.03  | 1602720 | 3.8523          |
| 3.4583        | 1.03  | 1679040 | 3.8554          |
| 3.4486        | 0.03  | 1755360 | 3.8559          |
| 3.4354        | 1.03  | 1831680 | 3.8575          |
| 3.4221        | 0.03  | 1908000 | 3.8579          |
| 3.4097        | 1.03  | 1984320 | 3.8596          |
| 3.4002        | 0.03  | 2060640 | 3.8605          |
| 3.3898        | 1.03  | 2136960 | 3.8624          |
| 3.38          | 0.03  | 2213280 | 3.8622          |
| 3.3648        | 0.03  | 2289600 | 3.8636          |
| 3.3565        | 1.03  | 2365920 | 3.8648          |
| 3.352         | 0.03  | 2442240 | 3.8656          |
| 3.3419        | 1.03  | 2518560 | 3.8656          |
| 3.3314        | 0.03  | 2594880 | 3.8659          |
| 3.3174        | 1.03  | 2671200 | 3.8659          |
| 3.3134        | 0.03  | 2747520 | 3.8667          |
| 3.3108        | 0.03  | 2823840 | 3.8660          |
| 3.3053        | 1.03  | 2900160 | 3.8651          |
| 3.2993        | 0.03  | 2976480 | 3.8642          |
| 3.2894        | 1.02  | 3052726 | 3.8625          |


### Framework versions

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