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-0
  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-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: 3.8627

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2093        | 0.03  | 76320   | 4.1924          |
| 4.0077        | 1.03  | 152640  | 4.0250          |
| 3.9           | 0.03  | 228960  | 3.9514          |
| 3.8353        | 1.03  | 305280  | 3.9109          |
| 3.7849        | 0.03  | 381600  | 3.8862          |
| 3.7477        | 1.03  | 457920  | 3.8694          |
| 3.7161        | 0.03  | 534240  | 3.8594          |
| 3.6848        | 0.03  | 610560  | 3.8529          |
| 3.6543        | 1.03  | 686880  | 3.8490          |
| 3.6298        | 0.03  | 763200  | 3.8465          |
| 3.6061        | 1.03  | 839520  | 3.8443          |
| 3.589         | 0.03  | 915840  | 3.8437          |
| 3.5737        | 0.03  | 992160  | 3.8447          |
| 3.5525        | 1.03  | 1068480 | 3.8432          |
| 3.5371        | 0.03  | 1144800 | 3.8444          |
| 3.5146        | 1.03  | 1221120 | 3.8455          |
| 3.4986        | 0.03  | 1297440 | 3.8471          |
| 3.4865        | 1.03  | 1373760 | 3.8483          |
| 3.4721        | 0.03  | 1450080 | 3.8492          |
| 3.4674        | 1.03  | 1526400 | 3.8505          |
| 3.4602        | 0.03  | 1602720 | 3.8525          |
| 3.4524        | 1.03  | 1679040 | 3.8546          |
| 3.4457        | 0.03  | 1755360 | 3.8557          |
| 3.4342        | 1.03  | 1831680 | 3.8564          |
| 3.4182        | 0.03  | 1908000 | 3.8590          |
| 3.4057        | 1.03  | 1984320 | 3.8596          |
| 3.394         | 0.03  | 2060640 | 3.8614          |
| 3.3856        | 1.03  | 2136960 | 3.8628          |
| 3.3814        | 0.03  | 2213280 | 3.8628          |
| 3.3665        | 1.03  | 2289600 | 3.8641          |
| 3.3551        | 0.03  | 2365920 | 3.8649          |
| 3.338         | 1.03  | 2442240 | 3.8653          |
| 3.3277        | 0.03  | 2518560 | 3.8663          |
| 3.3204        | 1.03  | 2594880 | 3.8663          |
| 3.3108        | 0.03  | 2671200 | 3.8669          |
| 3.3083        | 1.03  | 2747520 | 3.8661          |
| 3.3016        | 0.03  | 2823840 | 3.8657          |
| 3.2997        | 1.03  | 2900160 | 3.8648          |
| 3.2959        | 0.03  | 2976480 | 3.8644          |
| 3.2869        | 1.02  | 3052726 | 3.8627          |


### Framework versions

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