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-0
  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-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: 3.8623

## 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: 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2256        | 0.03  | 76320   | 4.1939          |
| 4.0197        | 1.03  | 152640  | 4.0263          |
| 3.9124        | 0.03  | 228960  | 3.9521          |
| 3.8474        | 1.03  | 305280  | 3.9113          |
| 3.7939        | 0.03  | 381600  | 3.8862          |
| 3.7531        | 1.03  | 457920  | 3.8701          |
| 3.7234        | 0.03  | 534240  | 3.8589          |
| 3.6922        | 1.03  | 610560  | 3.8521          |
| 3.6629        | 0.03  | 686880  | 3.8485          |
| 3.6356        | 1.03  | 763200  | 3.8451          |
| 3.6128        | 0.03  | 839520  | 3.8436          |
| 3.5929        | 1.03  | 915840  | 3.8429          |
| 3.574         | 0.03  | 992160  | 3.8428          |
| 3.5508        | 1.03  | 1068480 | 3.8433          |
| 3.5355        | 0.03  | 1144800 | 3.8435          |
| 3.5278        | 1.03  | 1221120 | 3.8453          |
| 3.5109        | 0.03  | 1297440 | 3.8459          |
| 3.4986        | 0.03  | 1373760 | 3.8483          |
| 3.4819        | 1.03  | 1450080 | 3.8498          |
| 3.4765        | 0.03  | 1526400 | 3.8518          |
| 3.4654        | 0.03  | 1602720 | 3.8523          |
| 3.4555        | 1.03  | 1679040 | 3.8527          |
| 3.4499        | 0.03  | 1755360 | 3.8555          |
| 3.4399        | 0.03  | 1831680 | 3.8558          |
| 3.4253        | 0.03  | 1908000 | 3.8577          |
| 3.4113        | 1.03  | 1984320 | 3.8580          |
| 3.4005        | 0.03  | 2060640 | 3.8599          |
| 3.3919        | 1.03  | 2136960 | 3.8617          |
| 3.3804        | 0.03  | 2213280 | 3.8617          |
| 3.3655        | 0.03  | 2289600 | 3.8638          |
| 3.3548        | 1.03  | 2365920 | 3.8634          |
| 3.353         | 0.03  | 2442240 | 3.8643          |
| 3.3392        | 1.03  | 2518560 | 3.8654          |
| 3.3291        | 0.03  | 2594880 | 3.8651          |
| 3.3208        | 1.03  | 2671200 | 3.8650          |
| 3.3177        | 0.03  | 2747520 | 3.8656          |
| 3.3077        | 0.03  | 2823840 | 3.8655          |
| 3.3017        | 0.03  | 2900160 | 3.8646          |
| 3.3002        | 1.03  | 2976480 | 3.8635          |
| 3.2939        | 0.02  | 3052726 | 3.8623          |


### Framework versions

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