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-4
  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-4

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: 3.8636

## 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: 4
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2157        | 0.03  | 76320   | 4.1883          |
| 4.0128        | 1.03  | 152640  | 4.0226          |
| 3.9058        | 0.03  | 228960  | 3.9491          |
| 3.8369        | 1.03  | 305280  | 3.9090          |
| 3.7874        | 0.03  | 381600  | 3.8846          |
| 3.746         | 0.03  | 457920  | 3.8693          |
| 3.7159        | 1.03  | 534240  | 3.8592          |
| 3.6869        | 0.03  | 610560  | 3.8535          |
| 3.6567        | 0.03  | 686880  | 3.8487          |
| 3.6334        | 1.03  | 763200  | 3.8459          |
| 3.6091        | 0.03  | 839520  | 3.8445          |
| 3.5914        | 1.03  | 915840  | 3.8436          |
| 3.5693        | 0.03  | 992160  | 3.8437          |
| 3.5499        | 1.03  | 1068480 | 3.8446          |
| 3.5373        | 0.03  | 1144800 | 3.8454          |
| 3.5171        | 1.03  | 1221120 | 3.8467          |
| 3.502         | 0.03  | 1297440 | 3.8484          |
| 3.4884        | 1.03  | 1373760 | 3.8506          |
| 3.4765        | 0.03  | 1450080 | 3.8514          |
| 3.4688        | 0.03  | 1526400 | 3.8536          |
| 3.4595        | 1.03  | 1602720 | 3.8547          |
| 3.4525        | 0.03  | 1679040 | 3.8556          |
| 3.4446        | 1.03  | 1755360 | 3.8578          |
| 3.4327        | 0.03  | 1831680 | 3.8597          |
| 3.4217        | 1.03  | 1908000 | 3.8595          |
| 3.4097        | 0.03  | 1984320 | 3.8613          |
| 3.3975        | 1.03  | 2060640 | 3.8635          |
| 3.3868        | 0.03  | 2136960 | 3.8649          |
| 3.3748        | 1.03  | 2213280 | 3.8654          |
| 3.3606        | 0.03  | 2289600 | 3.8669          |
| 3.3532        | 1.03  | 2365920 | 3.8672          |
| 3.3371        | 0.03  | 2442240 | 3.8684          |
| 3.3277        | 1.03  | 2518560 | 3.8695          |
| 3.3201        | 0.03  | 2594880 | 3.8688          |
| 3.31          | 0.03  | 2671200 | 3.8694          |
| 3.3054        | 0.03  | 2747520 | 3.8694          |
| 3.3024        | 1.03  | 2823840 | 3.8686          |
| 3.2981        | 0.03  | 2900160 | 3.8676          |
| 3.2952        | 0.03  | 2976480 | 3.8658          |
| 3.2872        | 0.02  | 3052726 | 3.8636          |


### Framework versions

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