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-1
  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-1

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: 3.8597

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2293        | 0.03  | 76320   | 4.1984          |
| 4.0213        | 1.03  | 152640  | 4.0267          |
| 3.9115        | 0.03  | 228960  | 3.9520          |
| 3.8476        | 1.03  | 305280  | 3.9106          |
| 3.7931        | 0.03  | 381600  | 3.8853          |
| 3.7539        | 1.03  | 457920  | 3.8691          |
| 3.7232        | 0.03  | 534240  | 3.8591          |
| 3.692         | 1.03  | 610560  | 3.8517          |
| 3.661         | 0.03  | 686880  | 3.8471          |
| 3.6361        | 1.03  | 763200  | 3.8443          |
| 3.6111        | 0.03  | 839520  | 3.8425          |
| 3.5927        | 1.03  | 915840  | 3.8419          |
| 3.5752        | 0.03  | 992160  | 3.8422          |
| 3.5536        | 0.03  | 1068480 | 3.8426          |
| 3.5367        | 1.03  | 1144800 | 3.8429          |
| 3.5295        | 0.03  | 1221120 | 3.8444          |
| 3.5108        | 1.03  | 1297440 | 3.8454          |
| 3.4985        | 0.03  | 1373760 | 3.8466          |
| 3.4845        | 1.03  | 1450080 | 3.8483          |
| 3.4798        | 0.03  | 1526400 | 3.8490          |
| 3.4686        | 0.03  | 1602720 | 3.8515          |
| 3.4598        | 1.03  | 1679040 | 3.8526          |
| 3.4531        | 0.03  | 1755360 | 3.8545          |
| 3.4432        | 0.03  | 1831680 | 3.8555          |
| 3.4275        | 0.03  | 1908000 | 3.8577          |
| 3.4146        | 1.03  | 1984320 | 3.8596          |
| 3.4027        | 0.03  | 2060640 | 3.8593          |
| 3.3953        | 1.03  | 2136960 | 3.8613          |
| 3.3835        | 0.03  | 2213280 | 3.8618          |
| 3.3678        | 1.03  | 2289600 | 3.8622          |
| 3.3576        | 0.03  | 2365920 | 3.8636          |
| 3.3555        | 0.03  | 2442240 | 3.8637          |
| 3.342         | 1.03  | 2518560 | 3.8640          |
| 3.3329        | 0.03  | 2594880 | 3.8641          |
| 3.3217        | 0.03  | 2671200 | 3.8650          |
| 3.3204        | 1.03  | 2747520 | 3.8637          |
| 3.311         | 0.03  | 2823840 | 3.8634          |
| 3.3076        | 1.03  | 2900160 | 3.8623          |
| 3.305         | 0.03  | 2976480 | 3.8615          |
| 3.297         | 1.02  | 3052726 | 3.8597          |


### Framework versions

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