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-0
  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-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: 3.8633

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2292        | 0.03  | 76320   | 4.1964          |
| 4.0231        | 1.03  | 152640  | 4.0266          |
| 3.9118        | 0.03  | 228960  | 3.9521          |
| 3.8436        | 0.03  | 305280  | 3.9110          |
| 3.7942        | 0.03  | 381600  | 3.8862          |
| 3.7539        | 1.03  | 457920  | 3.8700          |
| 3.7196        | 0.03  | 534240  | 3.8595          |
| 3.6867        | 1.03  | 610560  | 3.8529          |
| 3.6581        | 0.03  | 686880  | 3.8472          |
| 3.6307        | 1.03  | 763200  | 3.8468          |
| 3.6102        | 0.03  | 839520  | 3.8452          |
| 3.5881        | 1.03  | 915840  | 3.8435          |
| 3.5698        | 0.03  | 992160  | 3.8436          |
| 3.5469        | 1.03  | 1068480 | 3.8442          |
| 3.534         | 0.03  | 1144800 | 3.8449          |
| 3.5276        | 1.03  | 1221120 | 3.8466          |
| 3.5109        | 0.03  | 1297440 | 3.8462          |
| 3.4955        | 1.03  | 1373760 | 3.8491          |
| 3.4793        | 0.03  | 1450080 | 3.8501          |
| 3.4726        | 1.03  | 1526400 | 3.8517          |
| 3.467         | 0.03  | 1602720 | 3.8534          |
| 3.4575        | 1.03  | 1679040 | 3.8548          |
| 3.4476        | 0.03  | 1755360 | 3.8552          |
| 3.434         | 1.03  | 1831680 | 3.8573          |
| 3.421         | 0.03  | 1908000 | 3.8585          |
| 3.4096        | 1.03  | 1984320 | 3.8589          |
| 3.3989        | 0.03  | 2060640 | 3.8613          |
| 3.3901        | 1.03  | 2136960 | 3.8618          |
| 3.3776        | 0.03  | 2213280 | 3.8633          |
| 3.3624        | 1.03  | 2289600 | 3.8633          |
| 3.3544        | 0.03  | 2365920 | 3.8651          |
| 3.3519        | 1.03  | 2442240 | 3.8644          |
| 3.3423        | 0.03  | 2518560 | 3.8657          |
| 3.3295        | 1.03  | 2594880 | 3.8652          |
| 3.3192        | 0.03  | 2671200 | 3.8660          |
| 3.3124        | 1.03  | 2747520 | 3.8660          |
| 3.312         | 0.03  | 2823840 | 3.8658          |
| 3.3046        | 0.03  | 2900160 | 3.8652          |
| 3.2992        | 1.03  | 2976480 | 3.8642          |
| 3.2886        | 0.02  | 3052726 | 3.8633          |


### Framework versions

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