transformers pytorch opt text-generation generated_from_trainer autotrain_compatible endpoints_compatible text-generation-inference region:us
---
tags:
- generated_from_trainer
model-index:
- name: binding-c-command-transformer-4
  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. -->

# binding-c-command-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: 3.8623

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2297        | 0.03  | 76320   | 4.1982          |
| 4.0224        | 1.03  | 152640  | 4.0272          |
| 3.9115        | 0.03  | 228960  | 3.9530          |
| 3.8463        | 1.03  | 305280  | 3.9113          |
| 3.7908        | 0.03  | 381600  | 3.8865          |
| 3.7515        | 1.03  | 457920  | 3.8699          |
| 3.7215        | 0.03  | 534240  | 3.8597          |
| 3.6897        | 1.03  | 610560  | 3.8524          |
| 3.6601        | 0.03  | 686880  | 3.8487          |
| 3.6335        | 1.03  | 763200  | 3.8447          |
| 3.6117        | 0.03  | 839520  | 3.8432          |
| 3.5921        | 1.03  | 915840  | 3.8430          |
| 3.5737        | 0.03  | 992160  | 3.8429          |
| 3.5535        | 1.03  | 1068480 | 3.8429          |
| 3.5355        | 0.03  | 1144800 | 3.8431          |
| 3.5257        | 1.03  | 1221120 | 3.8452          |
| 3.5073        | 0.03  | 1297440 | 3.8459          |
| 3.4958        | 1.03  | 1373760 | 3.8471          |
| 3.4805        | 0.03  | 1450080 | 3.8488          |
| 3.476         | 1.03  | 1526400 | 3.8507          |
| 3.4642        | 0.03  | 1602720 | 3.8520          |
| 3.4558        | 1.03  | 1679040 | 3.8522          |
| 3.4516        | 0.03  | 1755360 | 3.8543          |
| 3.4403        | 0.03  | 1831680 | 3.8568          |
| 3.4249        | 1.03  | 1908000 | 3.8576          |
| 3.4116        | 0.03  | 1984320 | 3.8590          |
| 3.4008        | 1.03  | 2060640 | 3.8605          |
| 3.3924        | 0.03  | 2136960 | 3.8614          |
| 3.3807        | 0.03  | 2213280 | 3.8633          |
| 3.3674        | 1.03  | 2289600 | 3.8631          |
| 3.3573        | 0.03  | 2365920 | 3.8643          |
| 3.351         | 1.03  | 2442240 | 3.8647          |
| 3.3368        | 0.03  | 2518560 | 3.8658          |
| 3.33          | 1.03  | 2594880 | 3.8653          |
| 3.3192        | 0.03  | 2671200 | 3.8654          |
| 3.3174        | 1.03  | 2747520 | 3.8658          |
| 3.3087        | 0.03  | 2823840 | 3.8653          |
| 3.3037        | 1.03  | 2900160 | 3.8643          |
| 3.3016        | 0.03  | 2976480 | 3.8637          |
| 3.2935        | 0.02  | 3052726 | 3.8623          |


### Framework versions

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