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-2
  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-adj-noun-transformer-2

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: 3.8611

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2143        | 0.03  | 76320   | 4.1971          |
| 4.0126        | 1.03  | 152640  | 4.0275          |
| 3.9034        | 0.03  | 228960  | 3.9531          |
| 3.8386        | 1.03  | 305280  | 3.9123          |
| 3.7867        | 0.03  | 381600  | 3.8877          |
| 3.7511        | 1.03  | 457920  | 3.8721          |
| 3.7172        | 0.03  | 534240  | 3.8609          |
| 3.6865        | 1.03  | 610560  | 3.8550          |
| 3.6571        | 0.03  | 686880  | 3.8510          |
| 3.6313        | 1.03  | 763200  | 3.8467          |
| 3.6096        | 0.03  | 839520  | 3.8460          |
| 3.5918        | 1.03  | 915840  | 3.8454          |
| 3.5763        | 0.03  | 992160  | 3.8444          |
| 3.5553        | 0.03  | 1068480 | 3.8455          |
| 3.5372        | 1.03  | 1144800 | 3.8469          |
| 3.5178        | 0.03  | 1221120 | 3.8468          |
| 3.4992        | 1.03  | 1297440 | 3.8491          |
| 3.4907        | 0.03  | 1373760 | 3.8515          |
| 3.4758        | 1.03  | 1450080 | 3.8511          |
| 3.4692        | 0.03  | 1526400 | 3.8521          |
| 3.4631        | 1.03  | 1602720 | 3.8533          |
| 3.4552        | 0.03  | 1679040 | 3.8543          |
| 3.4493        | 0.03  | 1755360 | 3.8552          |
| 3.438         | 1.03  | 1831680 | 3.8578          |
| 3.4218        | 0.03  | 1908000 | 3.8586          |
| 3.4108        | 1.03  | 1984320 | 3.8595          |
| 3.3986        | 0.03  | 2060640 | 3.8605          |
| 3.3915        | 1.03  | 2136960 | 3.8608          |
| 3.3836        | 0.03  | 2213280 | 3.8618          |
| 3.369         | 1.03  | 2289600 | 3.8627          |
| 3.3558        | 0.03  | 2365920 | 3.8638          |
| 3.3426        | 0.03  | 2442240 | 3.8639          |
| 3.3287        | 1.03  | 2518560 | 3.8639          |
| 3.3228        | 0.03  | 2594880 | 3.8655          |
| 3.3138        | 1.03  | 2671200 | 3.8650          |
| 3.3124        | 0.03  | 2747520 | 3.8647          |
| 3.3054        | 1.03  | 2823840 | 3.8641          |
| 3.3032        | 0.03  | 2900160 | 3.8634          |
| 3.3008        | 1.03  | 2976480 | 3.8621          |
| 3.2909        | 0.02  | 3052726 | 3.8611          |


### Framework versions

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