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-adj-noun-transformer-4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# det-adj-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: 3.8622

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2118        | 0.03  | 76320   | 4.1942          |
| 4.0104        | 1.03  | 152640  | 4.0267          |
| 3.9029        | 0.03  | 228960  | 3.9524          |
| 3.8382        | 1.03  | 305280  | 3.9109          |
| 3.7878        | 0.03  | 381600  | 3.8859          |
| 3.7506        | 1.03  | 457920  | 3.8703          |
| 3.7161        | 0.03  | 534240  | 3.8607          |
| 3.6852        | 1.03  | 610560  | 3.8536          |
| 3.6542        | 0.03  | 686880  | 3.8491          |
| 3.6276        | 0.03  | 763200  | 3.8462          |
| 3.6046        | 0.03  | 839520  | 3.8446          |
| 3.587         | 1.03  | 915840  | 3.8449          |
| 3.5718        | 0.03  | 992160  | 3.8450          |
| 3.5499        | 0.03  | 1068480 | 3.8459          |
| 3.5344        | 1.03  | 1144800 | 3.8458          |
| 3.5158        | 0.03  | 1221120 | 3.8468          |
| 3.4972        | 1.03  | 1297440 | 3.8480          |
| 3.4863        | 0.03  | 1373760 | 3.8487          |
| 3.4704        | 1.03  | 1450080 | 3.8510          |
| 3.4663        | 0.03  | 1526400 | 3.8527          |
| 3.4605        | 0.03  | 1602720 | 3.8529          |
| 3.4528        | 1.03  | 1679040 | 3.8554          |
| 3.4454        | 0.03  | 1755360 | 3.8565          |
| 3.4331        | 1.03  | 1831680 | 3.8578          |
| 3.4187        | 0.03  | 1908000 | 3.8578          |
| 3.4054        | 1.03  | 1984320 | 3.8609          |
| 3.3958        | 0.03  | 2060640 | 3.8603          |
| 3.3855        | 1.03  | 2136960 | 3.8621          |
| 3.3777        | 0.03  | 2213280 | 3.8636          |
| 3.3661        | 1.03  | 2289600 | 3.8650          |
| 3.3542        | 0.03  | 2365920 | 3.8647          |
| 3.3415        | 1.03  | 2442240 | 3.8658          |
| 3.3276        | 0.03  | 2518560 | 3.8661          |
| 3.3186        | 1.03  | 2594880 | 3.8663          |
| 3.3091        | 0.03  | 2671200 | 3.8661          |
| 3.3087        | 1.03  | 2747520 | 3.8655          |
| 3.3022        | 0.03  | 2823840 | 3.8666          |
| 3.3           | 1.03  | 2900160 | 3.8647          |
| 3.2955        | 0.03  | 2976480 | 3.8638          |
| 3.2843        | 1.02  | 3052726 | 3.8622          |


### Framework versions

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