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-3
  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-3

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: 3.8658

## 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: 3
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2247        | 0.03  | 76320   | 4.1929          |
| 4.0198        | 1.03  | 152640  | 4.0244          |
| 3.9092        | 0.03  | 228960  | 3.9511          |
| 3.8454        | 1.03  | 305280  | 3.9100          |
| 3.7914        | 0.03  | 381600  | 3.8855          |
| 3.7515        | 1.03  | 457920  | 3.8704          |
| 3.7206        | 0.03  | 534240  | 3.8592          |
| 3.6904        | 1.03  | 610560  | 3.8529          |
| 3.6599        | 0.03  | 686880  | 3.8485          |
| 3.6327        | 1.03  | 763200  | 3.8462          |
| 3.6099        | 0.03  | 839520  | 3.8442          |
| 3.5921        | 1.03  | 915840  | 3.8425          |
| 3.5727        | 0.03  | 992160  | 3.8434          |
| 3.5518        | 1.03  | 1068480 | 3.8435          |
| 3.5346        | 0.03  | 1144800 | 3.8455          |
| 3.5247        | 1.03  | 1221120 | 3.8466          |
| 3.5068        | 0.03  | 1297440 | 3.8471          |
| 3.4938        | 1.03  | 1373760 | 3.8493          |
| 3.4788        | 0.03  | 1450080 | 3.8510          |
| 3.4741        | 1.03  | 1526400 | 3.8531          |
| 3.4643        | 0.03  | 1602720 | 3.8544          |
| 3.4558        | 1.03  | 1679040 | 3.8559          |
| 3.4469        | 0.03  | 1755360 | 3.8578          |
| 3.437         | 0.03  | 1831680 | 3.8588          |
| 3.4233        | 0.03  | 1908000 | 3.8603          |
| 3.4114        | 1.03  | 1984320 | 3.8629          |
| 3.3993        | 0.03  | 2060640 | 3.8634          |
| 3.3883        | 1.03  | 2136960 | 3.8644          |
| 3.3801        | 0.03  | 2213280 | 3.8647          |
| 3.3644        | 1.03  | 2289600 | 3.8664          |
| 3.3534        | 0.03  | 2365920 | 3.8687          |
| 3.3476        | 1.03  | 2442240 | 3.8687          |
| 3.3359        | 0.03  | 2518560 | 3.8693          |
| 3.3257        | 0.03  | 2594880 | 3.8694          |
| 3.3153        | 1.03  | 2671200 | 3.8704          |
| 3.3126        | 0.03  | 2747520 | 3.8697          |
| 3.3042        | 1.03  | 2823840 | 3.8697          |
| 3.2995        | 0.03  | 2900160 | 3.8691          |
| 3.297         | 0.03  | 2976480 | 3.8675          |
| 3.2901        | 1.02  | 3052726 | 3.8658          |


### Framework versions

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