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-case-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-case-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: 3.8631

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2202        | 0.03  | 76320   | 4.1930          |
| 4.0177        | 1.03  | 152640  | 4.0262          |
| 3.9112        | 0.03  | 228960  | 3.9533          |
| 3.8429        | 1.03  | 305280  | 3.9113          |
| 3.7931        | 0.03  | 381600  | 3.8866          |
| 3.7526        | 1.03  | 457920  | 3.8702          |
| 3.7213        | 0.03  | 534240  | 3.8594          |
| 3.6897        | 1.03  | 610560  | 3.8533          |
| 3.6622        | 0.03  | 686880  | 3.8488          |
| 3.6372        | 1.03  | 763200  | 3.8459          |
| 3.6129        | 0.03  | 839520  | 3.8441          |
| 3.5925        | 1.03  | 915840  | 3.8450          |
| 3.5722        | 0.03  | 992160  | 3.8455          |
| 3.5523        | 1.03  | 1068480 | 3.8454          |
| 3.5404        | 0.03  | 1144800 | 3.8463          |
| 3.5187        | 1.03  | 1221120 | 3.8467          |
| 3.5027        | 0.03  | 1297440 | 3.8480          |
| 3.4924        | 1.03  | 1373760 | 3.8494          |
| 3.477         | 0.03  | 1450080 | 3.8512          |
| 3.4702        | 1.03  | 1526400 | 3.8524          |
| 3.4613        | 0.03  | 1602720 | 3.8531          |
| 3.4552        | 0.03  | 1679040 | 3.8552          |
| 3.4478        | 0.03  | 1755360 | 3.8564          |
| 3.4355        | 1.03  | 1831680 | 3.8575          |
| 3.4237        | 0.03  | 1908000 | 3.8584          |
| 3.4124        | 1.03  | 1984320 | 3.8610          |
| 3.3986        | 0.03  | 2060640 | 3.8596          |
| 3.3896        | 1.03  | 2136960 | 3.8618          |
| 3.376         | 0.03  | 2213280 | 3.8634          |
| 3.3626        | 0.03  | 2289600 | 3.8645          |
| 3.3583        | 0.03  | 2365920 | 3.8649          |
| 3.3415        | 1.03  | 2442240 | 3.8663          |
| 3.3306        | 0.03  | 2518560 | 3.8664          |
| 3.3246        | 1.03  | 2594880 | 3.8665          |
| 3.314         | 0.03  | 2671200 | 3.8672          |
| 3.3116        | 1.03  | 2747520 | 3.8664          |
| 3.3062        | 0.03  | 2823840 | 3.8668          |
| 3.3009        | 1.03  | 2900160 | 3.8658          |
| 3.2975        | 0.03  | 2976480 | 3.8643          |
| 3.2892        | 0.02  | 3052726 | 3.8631          |


### Framework versions

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