transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: full2-transformer-0
  results: []
---

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# full2-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: 3.8599

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2278        | 0.03  | 76320   | 4.1982          |
| 4.022         | 1.03  | 152640  | 4.0277          |
| 3.9114        | 0.03  | 228960  | 3.9531          |
| 3.8457        | 1.03  | 305280  | 3.9114          |
| 3.7937        | 0.03  | 381600  | 3.8858          |
| 3.754         | 0.03  | 457920  | 3.8699          |
| 3.7241        | 1.03  | 534240  | 3.8603          |
| 3.6953        | 0.03  | 610560  | 3.8520          |
| 3.6648        | 1.03  | 686880  | 3.8463          |
| 3.6391        | 0.03  | 763200  | 3.8440          |
| 3.6181        | 1.03  | 839520  | 3.8425          |
| 3.5968        | 0.03  | 915840  | 3.8439          |
| 3.5813        | 1.03  | 992160  | 3.8418          |
| 3.5607        | 0.03  | 1068480 | 3.8427          |
| 3.5409        | 1.03  | 1144800 | 3.8433          |
| 3.5305        | 0.03  | 1221120 | 3.8444          |
| 3.5122        | 1.03  | 1297440 | 3.8448          |
| 3.4994        | 0.03  | 1373760 | 3.8457          |
| 3.4845        | 1.03  | 1450080 | 3.8475          |
| 3.4776        | 0.03  | 1526400 | 3.8493          |
| 3.4657        | 1.03  | 1602720 | 3.8507          |
| 3.4584        | 0.03  | 1679040 | 3.8513          |
| 3.4537        | 1.03  | 1755360 | 3.8522          |
| 3.4416        | 0.03  | 1831680 | 3.8545          |
| 3.4273        | 0.03  | 1908000 | 3.8565          |
| 3.4147        | 1.03  | 1984320 | 3.8564          |
| 3.4051        | 0.03  | 2060640 | 3.8578          |
| 3.3912        | 1.03  | 2136960 | 3.8585          |
| 3.3848        | 0.03  | 2213280 | 3.8590          |
| 3.3723        | 1.03  | 2289600 | 3.8598          |
| 3.3586        | 0.03  | 2365920 | 3.8602          |
| 3.3545        | 1.03  | 2442240 | 3.8610          |
| 3.3408        | 0.03  | 2518560 | 3.8615          |
| 3.3335        | 1.03  | 2594880 | 3.8624          |
| 3.3191        | 0.03  | 2671200 | 3.8620          |
| 3.3152        | 1.03  | 2747520 | 3.8622          |
| 3.3084        | 0.03  | 2823840 | 3.8619          |
| 3.3053        | 1.03  | 2900160 | 3.8617          |
| 3.3031        | 0.03  | 2976480 | 3.8612          |
| 3.2954        | 1.02  | 3052726 | 3.8599          |


### Framework versions

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