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-reconstruction-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-reconstruction-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: 3.8641

## 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2261        | 0.03  | 76320   | 4.1973          |
| 4.0228        | 1.03  | 152640  | 4.0263          |
| 3.9146        | 0.03  | 228960  | 3.9526          |
| 3.8468        | 1.03  | 305280  | 3.9123          |
| 3.7974        | 0.03  | 381600  | 3.8872          |
| 3.7543        | 1.03  | 457920  | 3.8710          |
| 3.7198        | 0.03  | 534240  | 3.8606          |
| 3.6892        | 1.03  | 610560  | 3.8538          |
| 3.6622        | 0.03  | 686880  | 3.8491          |
| 3.6371        | 1.03  | 763200  | 3.8460          |
| 3.6137        | 0.03  | 839520  | 3.8455          |
| 3.5945        | 1.03  | 915840  | 3.8445          |
| 3.5766        | 0.03  | 992160  | 3.8444          |
| 3.5535        | 1.03  | 1068480 | 3.8445          |
| 3.5378        | 0.03  | 1144800 | 3.8463          |
| 3.5275        | 1.03  | 1221120 | 3.8469          |
| 3.5127        | 0.03  | 1297440 | 3.8468          |
| 3.5           | 1.03  | 1373760 | 3.8498          |
| 3.4857        | 0.03  | 1450080 | 3.8513          |
| 3.4785        | 1.03  | 1526400 | 3.8527          |
| 3.4682        | 0.03  | 1602720 | 3.8531          |
| 3.4572        | 1.03  | 1679040 | 3.8547          |
| 3.4488        | 0.03  | 1755360 | 3.8569          |
| 3.4389        | 1.03  | 1831680 | 3.8588          |
| 3.4253        | 0.03  | 1908000 | 3.8592          |
| 3.4119        | 1.03  | 1984320 | 3.8608          |
| 3.4           | 0.03  | 2060640 | 3.8619          |
| 3.3897        | 1.03  | 2136960 | 3.8624          |
| 3.3774        | 0.03  | 2213280 | 3.8636          |
| 3.3637        | 1.03  | 2289600 | 3.8649          |
| 3.3532        | 0.03  | 2365920 | 3.8644          |
| 3.3491        | 1.03  | 2442240 | 3.8664          |
| 3.3386        | 0.03  | 2518560 | 3.8682          |
| 3.3309        | 1.03  | 2594880 | 3.8672          |
| 3.3217        | 0.03  | 2671200 | 3.8669          |
| 3.3165        | 1.03  | 2747520 | 3.8676          |
| 3.3096        | 0.03  | 2823840 | 3.8671          |
| 3.3024        | 0.03  | 2900160 | 3.8665          |
| 3.295         | 0.03  | 2976480 | 3.8659          |
| 3.288         | 1.02  | 3052726 | 3.8641          |


### Framework versions

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