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-2
  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-2

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: 3.8612

## 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: 2
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2236        | 0.03  | 76320   | 4.1937          |
| 4.0183        | 1.03  | 152640  | 4.0245          |
| 3.9082        | 0.03  | 228960  | 3.9500          |
| 3.8443        | 1.03  | 305280  | 3.9103          |
| 3.7908        | 0.03  | 381600  | 3.8840          |
| 3.7508        | 1.03  | 457920  | 3.8685          |
| 3.7217        | 0.03  | 534240  | 3.8586          |
| 3.6907        | 1.03  | 610560  | 3.8519          |
| 3.6607        | 0.03  | 686880  | 3.8475          |
| 3.6343        | 1.03  | 763200  | 3.8452          |
| 3.611         | 0.03  | 839520  | 3.8432          |
| 3.5893        | 1.03  | 915840  | 3.8427          |
| 3.5719        | 0.03  | 992160  | 3.8424          |
| 3.5509        | 0.03  | 1068480 | 3.8427          |
| 3.5351        | 1.03  | 1144800 | 3.8427          |
| 3.5269        | 0.03  | 1221120 | 3.8441          |
| 3.5066        | 1.03  | 1297440 | 3.8453          |
| 3.4967        | 0.03  | 1373760 | 3.8458          |
| 3.4799        | 1.03  | 1450080 | 3.8476          |
| 3.4756        | 0.03  | 1526400 | 3.8500          |
| 3.4629        | 1.03  | 1602720 | 3.8510          |
| 3.4559        | 0.03  | 1679040 | 3.8536          |
| 3.4494        | 1.03  | 1755360 | 3.8534          |
| 3.4387        | 0.03  | 1831680 | 3.8558          |
| 3.4247        | 0.03  | 1908000 | 3.8572          |
| 3.4118        | 1.03  | 1984320 | 3.8582          |
| 3.3992        | 0.03  | 2060640 | 3.8598          |
| 3.3894        | 1.03  | 2136960 | 3.8608          |
| 3.3803        | 0.03  | 2213280 | 3.8610          |
| 3.3632        | 1.03  | 2289600 | 3.8625          |
| 3.3574        | 0.03  | 2365920 | 3.8635          |
| 3.3492        | 0.03  | 2442240 | 3.8634          |
| 3.3364        | 0.03  | 2518560 | 3.8649          |
| 3.3296        | 1.03  | 2594880 | 3.8642          |
| 3.317         | 0.03  | 2671200 | 3.8647          |
| 3.3139        | 1.03  | 2747520 | 3.8653          |
| 3.308         | 0.03  | 2823840 | 3.8642          |
| 3.3023        | 1.03  | 2900160 | 3.8635          |
| 3.3002        | 0.03  | 2976480 | 3.8623          |
| 3.2921        | 1.02  | 3052726 | 3.8612          |


### Framework versions

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