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-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. -->

# det-noun-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: 3.8604

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.229         | 0.03  | 76320   | 4.1966          |
| 4.0225        | 1.03  | 152640  | 4.0278          |
| 3.9119        | 0.03  | 228960  | 3.9528          |
| 3.8437        | 0.03  | 305280  | 3.9120          |
| 3.7953        | 1.03  | 381600  | 3.8871          |
| 3.7538        | 0.03  | 457920  | 3.8699          |
| 3.7193        | 1.03  | 534240  | 3.8599          |
| 3.6865        | 0.03  | 610560  | 3.8533          |
| 3.6568        | 1.03  | 686880  | 3.8486          |
| 3.6323        | 0.03  | 763200  | 3.8451          |
| 3.612         | 1.03  | 839520  | 3.8445          |
| 3.593         | 0.03  | 915840  | 3.8424          |
| 3.5738        | 0.03  | 992160  | 3.8430          |
| 3.5506        | 1.03  | 1068480 | 3.8433          |
| 3.5384        | 0.03  | 1144800 | 3.8435          |
| 3.5287        | 1.03  | 1221120 | 3.8440          |
| 3.512         | 0.03  | 1297440 | 3.8463          |
| 3.499         | 1.03  | 1373760 | 3.8464          |
| 3.4808        | 0.03  | 1450080 | 3.8489          |
| 3.4728        | 1.03  | 1526400 | 3.8487          |
| 3.4668        | 0.03  | 1602720 | 3.8506          |
| 3.4605        | 1.03  | 1679040 | 3.8525          |
| 3.4498        | 0.03  | 1755360 | 3.8531          |
| 3.4355        | 1.03  | 1831680 | 3.8544          |
| 3.4245        | 0.03  | 1908000 | 3.8548          |
| 3.4117        | 0.03  | 1984320 | 3.8570          |
| 3.401         | 1.03  | 2060640 | 3.8575          |
| 3.393         | 0.03  | 2136960 | 3.8583          |
| 3.3814        | 1.03  | 2213280 | 3.8602          |
| 3.3636        | 0.03  | 2289600 | 3.8605          |
| 3.3563        | 1.03  | 2365920 | 3.8619          |
| 3.3539        | 0.03  | 2442240 | 3.8625          |
| 3.3429        | 1.03  | 2518560 | 3.8624          |
| 3.3318        | 0.03  | 2594880 | 3.8638          |
| 3.3196        | 1.03  | 2671200 | 3.8634          |
| 3.315         | 0.03  | 2747520 | 3.8632          |
| 3.3121        | 1.03  | 2823840 | 3.8632          |
| 3.3058        | 0.03  | 2900160 | 3.8624          |
| 3.3017        | 1.03  | 2976480 | 3.8610          |
| 3.2907        | 0.02  | 3052726 | 3.8604          |


### Framework versions

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