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-1
  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-1

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: 3.8611

## 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: 1
- 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 |
|:-------------:|:-----:|:-------:|:---------------:|
| 4.2239        | 0.03  | 76320   | 4.1939          |
| 4.0217        | 1.03  | 152640  | 4.0238          |
| 3.9118        | 0.03  | 228960  | 3.9500          |
| 3.8448        | 1.03  | 305280  | 3.9093          |
| 3.7955        | 0.03  | 381600  | 3.8845          |
| 3.7518        | 1.03  | 457920  | 3.8681          |
| 3.7165        | 0.03  | 534240  | 3.8579          |
| 3.6877        | 1.03  | 610560  | 3.8510          |
| 3.6604        | 0.03  | 686880  | 3.8468          |
| 3.6352        | 1.03  | 763200  | 3.8442          |
| 3.6113        | 0.03  | 839520  | 3.8420          |
| 3.592         | 1.03  | 915840  | 3.8417          |
| 3.5744        | 0.03  | 992160  | 3.8415          |
| 3.553         | 1.03  | 1068480 | 3.8429          |
| 3.5374        | 0.03  | 1144800 | 3.8430          |
| 3.527         | 1.03  | 1221120 | 3.8430          |
| 3.5111        | 0.03  | 1297440 | 3.8450          |
| 3.497         | 1.03  | 1373760 | 3.8470          |
| 3.4839        | 0.03  | 1450080 | 3.8478          |
| 3.4754        | 1.03  | 1526400 | 3.8493          |
| 3.4673        | 0.03  | 1602720 | 3.8500          |
| 3.4558        | 1.03  | 1679040 | 3.8519          |
| 3.4446        | 0.03  | 1755360 | 3.8529          |
| 3.4357        | 1.03  | 1831680 | 3.8547          |
| 3.4233        | 0.03  | 1908000 | 3.8563          |
| 3.4091        | 1.03  | 1984320 | 3.8579          |
| 3.3997        | 0.03  | 2060640 | 3.8585          |
| 3.3889        | 0.03  | 2136960 | 3.8605          |
| 3.3795        | 1.03  | 2213280 | 3.8612          |
| 3.3641        | 0.03  | 2289600 | 3.8622          |
| 3.3563        | 1.03  | 2365920 | 3.8623          |
| 3.3489        | 0.03  | 2442240 | 3.8630          |
| 3.3375        | 1.03  | 2518560 | 3.8639          |
| 3.329         | 0.03  | 2594880 | 3.8642          |
| 3.3166        | 1.03  | 2671200 | 3.8646          |
| 3.3137        | 0.03  | 2747520 | 3.8643          |
| 3.3086        | 1.03  | 2823840 | 3.8641          |
| 3.2996        | 0.03  | 2900160 | 3.8636          |
| 3.2927        | 1.03  | 2976480 | 3.8627          |
| 3.2855        | 0.02  | 3052726 | 3.8611          |


### Framework versions

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